147 high-performance-computing-postdoc positions at Singapore Institute of Technology in Singapore
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ensure compliance with Work, Safety and Health Regulations. Coordinate procurement and liaison with vendors/suppliers. Work independently, as well as within a team, to ensure proper operation and
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/suppliers. Work independently, as well as within a team, to ensure proper operation and maintenance of equipment. Job Requirements Have relevant competence in the areas of naval architecture and ship
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As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT. We are currently seeking a...
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team to optimize the spray drying processes for collagen and gelatine powder production, ensuring high-quality and consistent output. Key Responsibilities Design and conduct experiments to optimize
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Responsibilities: Deliver high-quality lectures and tutorials in the specified subjects. Utilise competency-based education principles to develop course materials and syllabi. Mentor and guide students in
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towards sales and business development, solutions selling and a passion for shaping the future of learning. Business & Programme Development Bring Applied Technology Leadership (ATL) / Executive Education
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process development. Key Responsibilities In this role, you will perform shear and extensional rheological characterization of a large variety of liquid personal care products including lotions, topical
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of the University and the Division. Work closely with Overseas University partners and SIT Directors of Programmes and Programme Leads to achieve enrolment goals. Manage specific functional portfolios/projects which
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perform ingredient techno-functional property tests with the support of the team members. ii. Lead the designing of food processing flow with optimized life cycle assessments (LCA) and Techno-Economic
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these responsibilities in the project: Perform fermentation and optimization of GRAS microorganisms at 1-10 L fermentation scale. Design and optimise downstream bioprocessing for protein recovery. Perform characterization