Experience and Knowledge of operating HPLC, MALDI-TOF and Q-TOF Mass spectrometry for protein sequencing, carbohydrate/Sugar analysis, and polyphenol identification.
Evaluate and integrate green processing technologies, including deep eutectic solvents, for protein extraction, off‑taste reduction, and sustainability‑driven process optimisation.
Partner with Synapxe and Group Digital Health to support the development, testing, implementation, and enhancement of the Enterprise Data Warehouse and Analytics Workbench.
Demonstrated track record of independent research problem-solving, willingness to undergo training in advanced imaging platforms, and proven ability to collaborate in multi-disciplinary team projects.
Collaborate with data platform, algorithm, engineering, and operations teams to turn research prototypes into reusable and maintainable production workflows.
Undertake these responsibilities in the project:i. Lead and support high quality publications to disseminate the appliedresearch outcomes.ii. Plan, organize and carry out experiments and trials in the food pilot plantto achieve the objectivesiii. Manage and complete the project by presenting the findings inconferences or meetings with industrial collaborator, submitting timelydata & documents, and purchase chemicals or consumables.iv. Consolidate the data in order to generate sufficient scientific evidence formeetings slides and report in conferences.v. Engage and communicate with collaborators for progress meetings and report generation to meet the grantor's requirements.The candidate is to liaise and communicate with any internal or external stakeholders to ensure project deliverables are met and to perform any other adhoc duties assigned by Supervisor.
Support collaborations with industry and healthcare partners to understand workflow pain points, user needs, business requirements and implementation constraints, and contribute to practical solution development.
As a Research Scientist (AutoResearch on LLM), you will focus on cutting edge AI-Driven AI development using Autoresearch(Automated Machine Learning) 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
Conduct literature searches, using SPSS to enter data, and analyse data and maintain trial database, as well as assist in preparing both progress and final reports of the project;