140 programming-"https:"-"FEMTO-ST"-"UCL" "https:" "https:" "https:" "https:" "https:" "UNIV" "UNIV" Fellowship positions at Nanyang Technological University
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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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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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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
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. The successful candidate will take technical ownership of thin film deposition, materials characterization, and process innovation, contributing both strategic insight and hands-on leadership to research programs
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. Lead and execute independent investigations, ensuring accurate interpretation of experimental data and effective communication of key findings. Plan, implement, and refine experimental methodologies
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research findings clearly. Design and conduct experiments, analyze data, and draw meaningful conclusions. Work with data analysis software, programming languages, and simulation tools. Oversee the transition
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with physical-based and machine learning methods in atmospheric science. Proficiency in Linux-based high-performance computing systems, GPU-based programming and prevailing AI tools. Experience in urban
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approaches, share datasets, and integrate results into broader fusion research programmes Job Requirements: PhD degree in physics Demonstrated experience in scientific computing, including programming
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skills to develop experimental methods, troubleshoot process issues, and interpret complex data sets. Utilize data analysis software, simulation tools, and relevant programming languages for modeling