133 programming-"https:"-"Inserm"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "https:" "J" Fellowship positions at Nanyang Technological University in Singapore
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Responsibilities: Conduct programming and software development for graph data management. Design and implement machine learning models for optimizing graph data management. Conduct experiments and evaluations
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required to substantially advance a research programme focused on next-generation optical imaging and sensing technologies, aimed at pushing the boundaries of performance and enabling new capabilities
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optimization problems Develop mathematical modeling framework to find the optimal operation strategy Conduct computer programming to verify the efficiency of the designed solution algorithms Analyze data
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simulation for physical systems. Strong foundation in mathematical modeling, simulation and quantum mechanics. High proficiency in scientific programming (Python, C++, MATLAB, or similar), with experience in
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for future career success, but also have a good quality of life and wellbeing, thus supporting a flourishing society. The CLIC program is seeking One full-time Research Fellow (with potential opportunities
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experience in handling semiconductor wafer development Skillful in semiconductor processing techniques. Possesses good skill in programming languages, some background in device modelling is a plus. Competent
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Medical School. In August 2024, we welcomed our first intake of the NTU MBBS programme, that has been recently enhanced to include themes like precision medicine and Artificial Intelligence (AI) in
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necessary lead relevant meetings. To undertake any other duties relevant to the programme of research. Job Requirements: PhD degree in Computer Engineering, Computer Science, Electronics Engineering or
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languages (HDL). Proficiency in scientific programming and laboratory automation Experience developing control and analysis software for instrumentation and optical measurements. Strong analytical
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. Experience handling complex, multi-modal datasets (e.g., biological, imaging, environmental, or data). Proficiency in programming languages such as Python and familiarity with machine learning frameworks (e.g