70 virtualization-phd-"https:" "UCL" Fellowship positions at SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
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Requirements PhD degree in biomedical engineering or other relevant engineering disciplines from a reputable university Demonstrable good publication track record Highly motivated with ability to work
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AI applications as well as Python-based coding . Have a degree in Computer Science/Computer Engineering. Possessing a Master’s or PhD degree will definitely be advantageous. Knowledge of machine
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mathmatical modeling. The candidate should also have a PhD or other advanced degree in a food or engineering related field. Knowledge of food formulation, sensory analysis, extrusion technology, machine
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Fellow) PhD in Computer Science or a related field (Research Engineer) Bachelor/Master degree in Computer Science or a related field Proven ability to conduct independent research with a relevant
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Fellow) PhD in Computer Science or a related field (Research Engineer) Bachelor/Master degree in Computer Science or a related field Proven ability to conduct independent research with a relevant
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by Supervisor. Job Requirements Master/PhD in Naval Architecture, Ocean Engineering, Marine Engineering, Civil Engineering, or related field. Proficiency in hydrodynamic modeling tools (e.g., ANSYS
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that are relevant to industry demands while working on research projects in SIT. The researcher will be part of the team of the CFI Project (https://www.pub.gov.sg/-/media/PUB/Resources/Press-Releases/2024/06/Annex
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Requirements PhD degree in biomedical engineering or other relevant engineering disciplines from a reputable university Demonstrable good publication track record Highly motivated with ability to work
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development, including Python, model integration, and system architecture design. Excellent communication and leadership skills, with prior experience in mentoring students or leading small teams. PhD degree in
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by Supervisor. Job Requirements Master/PhD in Naval Architecture, Ocean Engineering, Marine Engineering, Civil Engineering, or related field. Proficiency in hydrodynamic modeling tools (e.g., ANSYS