Want to grow your confidence and people skills in a supportive team?

No need to be super outgoing — we’ll guide you every step of the way

What You’ll Do

• Connect with people and bring in potential clients

• Promote brands through exciting campaigns & events

• Build strong relationships with clients

• Step up to lead and run marketing campaigns

Who We Want

• Willing to learn and grow (no experience needed)

• Adaptable and open to new challenges

• Positive mindset and takes initiative

• Driven and loves hitting goals

What You Get

• Clear career growth opportunities

• Training provided (no experience? no problem)

• Travel opportunities

• Bonding team environment

Not sure what’s next after graduating or ORD?

If you’re looking for something hands-on, fun, and full of growth, this might be it.

No experience needed — just bring the right attitude.

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow-%28Cancer-Science-Institute%29/33300-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The Research Fellow will have opportunities to work with well-characterised clinical samples, state-of-the-art laboratory platforms, and an extensive network of local and international collaborators while contributing to high-impact publications and future clinical translation.

Key Responsibilities

• Design, plan, and execute independent research projects aligned with the laboratory's scientific objectives.
• Investigate mechanisms by which DNA damage and DNA repair defects influence innate and adaptive immune responses in cancer.
• Study immunogenic cell death, cytosolic nucleic acid sensing pathways, and tumour immune microenvironment modulation following genotoxic chemotherapy.
• Develop and optimise molecular and cellular assays related to DNA repair, immune activation, and cancer biology.
• Perform and interpret experiments using cell line models of epithelial and lymphoid malignancies.
• Apply quantitative microscopy and histopathological imaging techniques to investigate immune modulation pathways in human tumour samples.
• Analyse and interpret complex experimental datasets using appropriate statistical and computational approaches.
• Collaborate with clinicians and translational researchers to analyse patient-derived clinical specimens and develop clinically relevant biomarkers.
• Contribute to the design and evaluation of novel chemotherapy-immunotherapy combination strategies.
• Prepare manuscripts for publication in peer-reviewed journals and present findings at scientific conferences.
• Assist in preparing research grant applications and progress reports.
• Mentor graduate students, research assistants, and junior laboratory members where appropriate.
• Contribute to laboratory management, protocol development, and maintenance of high standards of scientific integrity and research compliance.
• Foster a collaborative, respectful, and inclusive research culture.

Qualifications

• PhD in Cancer Biology, Immunology, Molecular Biology, Cell Biology, Biomedical Sciences, Genetics, or a related discipline.
• Strong publication record in peer-reviewed scientific journals.
• Demonstrated expertise in one or more of the following:DNA damage response and DNA repair biologyCancer immunologyMolecular and cellular biologyImmunofluorescence and quantitative microscopyFlow cytometryCRISPR/Cas9 genome editingGenomic and transcriptomic analysesCancer cell culture and functional assays
• Experience working with animal models and/or human clinical specimens would be advantageous.
• Familiarity with bioinformatics or computational analysis of biological datasets is desirable.
• Excellent scientific writing, presentation, and communication skills.
• Ability to work both independently and collaboratively within multidisciplinary teams.

Monthly Salary: UP to $3800 (Negotiable)

Working Address: ION Orchard

Working Hours: 5.5 day work week, 44 hours 

    shift-based; typically 8hrs x 5 days + 4hrs x 1 day

                             1 day off per week based on rotational basis.

No prior experience required — comprehensive training will be provided.

Responsibilities and Duties:

• Prepare fried dishes (tempura, deep-fried items)

• Prepare soups (miso soup, fish stock soup, and other Japanese soups)

• Prepare chawanmushi, salads, side dishes, and desserts

• Handle ingredient preparation and mise en place

• Manage inventory and ingredient ordering

• Maintain kitchen hygiene, cleanliness, and HACCP compliance

• Oversee equipment maintenance and care

Qualification and Requirements:

Must-Have:

• Passion for cooking and a meticulous approach to food — someone who takes pride in every dish and is committed to delivering consistent quality

• Strong teamwork and communication skills — close coordination with the sushi counter and service teams is essential. You should thrive as part of a collaborative kitchen brigade

• Growth mindset — a desire to develop into a kitchen leader who manages the full back-of-house operation

Nice-to-Have:

• Cooking experience in any type of restaurant or food establishment

• Experience in Japanese cuisine

• Food safety knowledge or certifications

• Inventory or cost management experience

Who We’re Looking For:

• Someone who takes pride in back-of-house work and finds fulfilment in supporting the team

• A person who strives for speed, accuracy, and quality in every task

• Someone who proactively suggests improvements to processes and efficiency

• A professional with high standards of hygiene and food safety awareness

Benefits: 

• OT Payable

• Variable bonus

• AL entitlement

• Staff Meal Provided

• Group Insurance Coverage 

• Growth opportunities and career advancement

• Opportunity to join a new restaurant opening team
  

  Nextbeat Singapore Pte.Ltd.

  EA License Number: 22C1267

  EA Personnel: R22110252

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-AssistantAssociate-%28QC-Analytical-Chemist%29/28267-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for Research Assistant/ Research Associate (QC Analytical Chemist) in the Department of Clinical Imaging Research Centre (CIRC) Yong Loo Lin School of Medicine. CIRC is a dedicated molecular imaging research centre. It is equipped with on-site capability for the preparation of PET radiopharmaceuticals in a state-of-the-art GMP-certified facility. CIRC is positioned to support both academic and commercially led clinical research programs, with dedicated clinical imaging facilities area advanced modalities of PET-CT and PET-MRI. For more details on what we do, do visit https://medicine.nus.edu.sg/circ/. Appointments will be made on a two-years contract basis with the possibility of extension.

Purpose of the post

The QC Analytical Chemist will be responsible to, and work closely with Head of QC, to ensure the successful and safe release of radiopharmaceuticals manufactured at CIRC. The QC Analytical Chemist’s principal role will be to perform all quality control tests required by pharmacopeia. Alongside with maintaining the inventory of raw materials, maintenance of equipment and all the necessary documentation required for the QC laboratory in compliance to PIC/S GMP.

Main Duties and Responsibilities

The QC Analytical Chemist will be responsible for:

• Performing routine QC release testing (HPLC, GC, radioTLC etc) on radiopharmaceutical to ensure quality and safe for clinical use in compliance with PIC/S GMP requirements.
• Support routine QC operations such as daily equipment checks, monthly standard calibration, documentation activities.
• Conducting routine microbial testing activities such as microbial plate incubation, sterility testing, bioburden testing, etc and liaising with third party contractors if required.
• Managing raw materials, including inventory control, purchasing, receipt and status tracking of raw materials.
• Developing and validating QC test methods for the radiopharmaceutical QC release testing.
• Assisting in preparation and maintenance of Standard Operating Procedures (SOPs), Work Instructions (WIN), Recordsheets (REC), etc and fill in Batch Manufacturing Records (BMR).
• Supporting in the managing of equipment in the QC and Metabolite laboratories, including qualification, operation, maintenance, cleaning, calibration and re-qualification activities.
• Supporting Production in Research & Development activities when required.
• Maintaining cleanliness and housekeeping within QC laboratories, raw material storage areas, and the cyclotron facility.
• Handling chemical and biohazard waste disposal activities for QC department in accordance with safety and regulatory requirements.
• Adhering to the university’s safety and health policies and guidelines.
• Performing environmental monitoring activities in cleanroom facilities, including environmental and airborne particle sampling, when required
• Undergoing cross-training to support routine radiopharmaceutical manufacturing activities in Production, where necessary.
• Any adhoc duties assigned in support of departmental and operational needs

Physical Demands and Work Environment

Personnel should be comfortable with:

• exposure to radiation when handling radioactive samples.
• handling of chemicals for QC testing (flammables, acids, and bases).
• Handling chemical and biohazard waste
• Occasion lifting heavy objects such as lead shield containment (lead pots)
• Comfortable with routine and repetitive work
• Standard working hours with occasional overtime

Qualifications

The applicant should:

(a) Have a minimum of BSc degree in Chemistry, Biochemistry, pharmacy or a related field;

(b) Good knowledge and experience on GMP (Good Manufacturing Practice) or GLP (Good Laboratory Practice);

(c) Preferably hands-on experience with operating and maintaining analytical instruments such as HPLC, GC, and also aseptic isolator for sterility testing.

(d) Have good analytical processing skills, as well as,

(e) Have good critical thinking and proactiveness at work

Remuneration will be commensurate with the candidate’s qualifications and experience.

Formal application: Please submit your application, indicating current/expected salary, supported by a detailed CV (including personal particulars, academic and employment history, complete list of publications/oral presentations and full contacts of three (3) referees to the NUS Career Portal.

We regret that only shortlisted candidates will be notified.

SAMH manages the Mindset Learning Hub – a “one-stop” centre” that provides vocational training job preparation, personalised coaching, traineeship, psycho-social case management, job matching, placement services & post-employment follow-up for Persons-In-Recovery (PIRs).

PURPOSE

To provide support, guidance, coaching and supervision of Persons-In-Recovery (PIR) in vocational training. To undertake coaching and monitoring of progress of PIRs in traineeship, job trial, On the Job training (OJT) or employment.

This job will also require you to work closely with training staff and caseworkers in developing socio-emotional resilience in PIRs for skills development, motivation and readiness for employment & job sustenance.

KEY RESPONSIBILITIES

• Assess the strengths of PIRs and coach them on leveraging their strengths effectively.
• Assist and guide PIRs in learning to discover and overcome barriers and setting goals, to complete job tasks.
• Help PIRs to develop motivation, social and life skills.
• Provide job coaching in employability hard and soft skills and develop employment plans.
• Advocate for an inclusive work environment
• To maintain proper documentation of assessment, progress of PIRs under traineeship, OJT or employment
• To actively follow up with communications with employers and address issues / concerns with regards to the performance of PIRs at work
• Work closely with the multi-disciplinary team to assess PIRs’ readiness for employment.
• Engaging and participating in talks, trainings and other outreach involvements
• Administrative, documentation and support for any activities

REQUIREMENTS

• Degree and or Diploma in Social Work / Psychology / Human Resource Management.
• Proficient in spoken and written
• Proficient in MS Office
• Possess passion to work within the social service sector and patience in imparting knowledge and skills, prior experience in training or coaching would be an added advantage.
• Open to continuous learning on ways to work with and train people with mental health issues or different special needs
• Possess strong interpersonal skills and ability to engage jobseekers, network and work across boundaries to foster greater partnerships and collaboration.
• Able to travel to offsite work locations, ie. employer work sites, with possibility of more than one location a day.
• ACLP or coaching trained would be advantageous

Workplace: Blk 257 Jurong East Street 24

We regret that only shortlisted candidates will be notified.

• Conduct product training for the company's core brands and products through online, offline, one-on-one, and group training sessions.

• Develop and record product training videos for key products when training materials or videos are not provided by the respective business units.

• Coordinate with various business units to obtain and consolidate product information, training materials, product comparisons, and related content.

• Support and collaborate with local KOLs, customers, and partners for livestreaming, product demonstrations, store visits, and promotional activities.

• Prepare and organize monthly product knowledge assessments and examination materials based on business unit resources, promotional campaigns, and product highlights.

• Monitor training effectiveness and provide feedback to improve product knowledge and sales performance.

• Ensure training content is accurate, updated, and aligned with company objectives.

About the role

As a Franchise Operations Trainer at Paris Baguette Singapore, you will play a crucial role in ensuring the seamless operation and success of our franchise locations. You will be responsible for training and supporting our franchisees and their teams in the overseas countries to deliver exceptional customer service and maintain our high standards of food quality and operational efficiency.

What you'll be doing

• Develop and deliver comprehensive training programs for new and existing franchisees, covering all aspects of operations, including food preparation, customer service, inventory management, and reporting
• Provide on-site support and coaching to franchisees and their staff, ensuring they have the knowledge and skills to effectively manage their operations
• Monitor franchisee performance and provide feedback and recommendations for improvement
• Collaborate with the franchisor team to identify and implement best practices, process improvements, and new initiatives
• Maintain detailed records of all training activities and franchisee performance metrics
• Assist in the recruitment and onboarding of new franchisees

What we're looking for

• Minimum 3 years of experience in a similar Franchise Operations Trainer or TTT experience, preferably within the hospitality or food and beverage industry
• Excellent knowledge of franchise operations, including best practices in training, customer service, and operational efficiency
• Strong interpersonal and communication skills, with the ability to effectively train and coach individuals and teams
• Proficient in Microsoft Office suite and comfortable with using various training and reporting tools
• Passionate about the hospitality industry and committed to delivering exceptional customer experiences
• Flexible and adaptable, with the ability to work in a fast-paced, dynamic environment

What we offer
At Paris Baguette Singapore, we are committed to providing our employees with a rewarding and fulfilling work experience. In addition to a competitive salary, you will enjoy a range of benefits, including:

• Flexi health and benefit
• Opportunities for career development and advancement
• Performance Incentive Bonus
• A collaborative and supportive work environment

About Company

Founded in 2022, XG Tech is driving the future of smart vehicles. Its mission is to empower the digital transformation of automobiles, moving from distributed computing to a centralized, cross-domain platform.

XG Tech focuses on the intelligent cockpit—the next frontier of differentiation—while seamlessly integrating advanced driving systems. By reimagining cars as mobile living spaces, XG Tech aligns with the evolving trend of vehicles becoming the “third living space.”

Role Summary
As a Research Scientist (AutoResearch on LLM), you will focus on cutting edge AI-Driven AI development using Autoresearch(Automated MachineLearning) for Large Language Models (LLM). You will design and deploy automated research frameworks that autonomously discover. optimize, and train the next-generation LLM architectures. You will bridge the gap between hardware constraints and model design ensuring that the automatically optimized architectures achieve or exceed the pre-training efficiency and downstream performance of state of the art established base models

Key Responsibilities

• Design, build and scale automated search and optimization systems (Such as Neural Architecture Search, evolutionary algorithms, or LLM-driven research agents) to autonomously discover optimal LLM architectures
• Analyze and integrate hardware level constraints (e.g. tensor parallel limits, memory bandwidths, latency, cache hierarchies, FLOPs, and energy efficiency of target silicon) into the optimization loop
• Scale up discovered architectures to perform large-scale pre-training. Ensure the final models meet to exceed the performance, training efficiency, and convergence rate of existing top-tier foundation models
• Develop accurate, cost effective proxy task, evaluation protocols, and scaling laws to predict full-scale LLM performance from early-stage automated search limits
• Collaborate closely with chip architects, system/compiler engineers, and foundation model researchers to co-optimize hardware execution efficiency and model training algorithms
• Stay at the forefront of AutoML, hardware-software co-design, and LLM pre-training literature, contributing to peer-reviewed publications and IP generation where applicable

How will you stand out

• Master's or PhD degree in Computer Science, Electrical Engineering, Applied Mathematics, or a related quantitative field with a focus on Deep Learning
• Strong research background in LLM pre-training, Transformer architectures, and scaling dynamics
• Hands-on experience with AutoResearch, AutoML, automated optimization algorithms, or using AI agents/LLMs for automated scientific discovery
• Solid understanding of GPU/accelerator architectures, memory hierarchies, parallel training strategies(tensor, pipeline, data parallel) and hardware performance profiling
• Production grade coding skills in Python and deep learning frameworks (e.g. Pytorch, JAX, Megatron-LM, Deepspeed).
• Demonstrated experience in training, scaling and evaluating large scaling models from scratch
• Having first author publications in top tier machine learning or system conferences (e.g. NeurIPS, ICML, ICLR, ASPLOS, ISCA, MLSys) is preferred
• Experience writing custom kernels (e.g. Triton, CUDA) or working with machine learning compilers are preferred
• Direct experience working with silicon/chip design teams to customize model architectures for specific ASIC/GPU/FPGA constraints.
• Experience building self improving AI Loops or automated coding research assistants

XG Tech is committed to providing equal employment opportunities by country, state, and local laws. XG Tech does not discriminate against employees or applicants based on conditions such as race, color, gender identity and/or expression, sexual orientation, marital and/or parental status, religion, political opinion, nationality, ethnic background or social origin, social status, disability, age, indigenous status, and union.

Strategic Leadership

• Define and drive the overall training and development strategy aligned to business goals
• Partner with the GM on workforce capability planning and operational excellence initiatives
• Lead transformation and continuous improvement programs across training and operations