16 medical-physics "University Hospital Southampton" Fellowship positions at SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
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Research Fellow / Assistant/Engineer (Neuroscience, Psychology, Movement Science and Rehabilitation)
2 May 2024 Job Information Organisation/Company SINGAPORE INSTITUTE OF TECHNOLOGY (SIT) Research Field Biological sciences Computer science Engineering Medical sciences Physics Researcher Profile
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. Synthesis of light conversion solution for down conversion with the above technique Knowledge in the process such as film coating using roll to roll process and doctor blade techniques, electrospinning
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process in the project. Coordinate procurement and liaison with vendors/suppliers for equipment training, maintenance and operation issue. Work independently, as well as within a team, to ensure proper
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. Synthesis of light conversion solution for down conversion with the above technique Knowledge in the process such as film coating using roll to roll process and doctor blade techniques, electrospinning
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power and propulsion, applied physics, and mechanics Excellent knowledge of Aerospace modeling and simulation software Ability to develop and evaluate integrated systems An analytical mind Resourcefulness
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-out investigative data-analysis with correlation of measurement results Coordinate very closely with research team and industry partner in the project execution and in the procurement, process including
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innovation research project where you will be part of the research team to develop/produce/investigate extraction and fractionation of mung bean/rice/spent barley for improved functionality, generate process
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for improved functionality, generate process data for future life-cycle analysis to understand the extraction processes’ impact on sustainability. Key Responsibilities: Participate in and manage the research
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. Synthesis of light conversion solution for down conversion with the above technique Knowledge in the process such as film coating using roll to roll process and doctor blade techniques, electrospinning
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applied artificial intelligence (e.g., physics-informed neural network, transfer learning, and edge intelligence) for battery management systems that lead to publications in top-tier international