63 formal-method-phd-"https:" Fellowship positions at SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
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foods including through high moisture extrusion. Key responsibilities will include: Explore innovative methods for food process optimization including the use of AI and machine-learning Develop and
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Chemistry, Biotechnology, Pharmaceutical Engineering or closely related disciplines. Possessing a PhD degree will be advantageous. Analytical chemistry (experience with chromatographic methods, particularly
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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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, including design approaches, scanning methods, signal processing techniques, and comparison with alternative detection technologies. ii. Support design and development of NQR prototype, including system
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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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are: Metabolic engineering of Yarrowia and Candida yeasts for organic acid production Design and optimization of fermentation method in 10L and 100L stirred tank vessels Key Responsibilities: Fulfill the primary
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: i. Develop naval architecure calculation and ship design tools based on analytical or empirical methods, i.e., stability calculation, resistance and propulsion estimation, weight estimation, etc. ii
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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