Sort by
Refine Your Search
-
that are relevant to industry demands. The success of these initiatives will bring about deeper collaboration with key healthcare stakeholders that will translate the industry engagement into more innovation projects
-
collaboration with industry partners and offers the opportunity to work on real-world challenges with significant practical impact. Key Responsibilities The successful candidate will be responsible
-
projects in collaboration with Principal Investigators, Co-PIs, and industry partners. Lead applied research on mushroom-, mycelium-, and plant‑based (PB) protein ingredients, with emphasis on improving
-
to leverage or be equipped with applied research skill sets that are relevant to industry demands. The success of these initiatives will bring about deeper collaboration with key industry stakeholders that will
-
relevant prototypes, high-quality publications, and translational outcomes for the project. Key Responsibilities Participate in and manage the research project with Principal Investigator (PI), Collaborator
-
, and elasticity. Translate scalable solutions from upstream processing (e.g. protein gels, fermented ingredients) into robust food formulations by collaboration with culinary experts, and lead pilot
-
Schemes of Service: Research Division: Engineering Employment Type: Fixed Term About the Project This project, conducted in collaboration with industry partners, aims to develop an innovative rapid
-
Responsibilities Manage the research project together with Principal Investigator (PI), Co-PI and the research team members to ensure all project deliverables are met. Collaborate with the PI, Co-PIs and NTU team
-
publications. Manage undergraduate research assistants (if appropriate). Liaise with customers and collaborators in A*STAR and NTU, as well as collaborators in the UK and China. Key Competencies: A self-directed
-
a highly motivated Research Fellow/Engineer to join a strategic collaboration with Procter & Gamble (P&G). This project aims to develop next-generation AI technologies for concept-driven video