146 programming-"https:"-"Inserm"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" Fellowship positions at Nanyang Technological University
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. Proficiency in programming languages like C and Python, as well as deep learning frameworks such as PyTorch and TensorFlow. Knowledge in imaging and computing device and equipment. Strong communication
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Requirements: PhD degree in Computer Science, Mechatronics, Robotics, Electrical Engineering or equivalent. Proficiency in programming, software design and development and algorithms. Strong analytical
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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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maritime transport, marine technology, computer science, or a related field; Excellent programming skills, such as Python, Matlab, C++, or other computer languages; A record of publications in reputable peer
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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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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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analysis methodologies Excellent written and oral communication skills Proficiency in programming, real-time simulation with OPAL-RT, and conducting hardware experiments Self-motivated, responsible, and able
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could help in this case. Also, data management is important to improve the efficiency of solutions. Job Requirements: Preferably PhD in Computer Science or related field. Expertise in computer programming
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. Perform any other duties relevant to the research programme. Job Requirements: PhD in Computer Engineering, Computer Science, Electronics Engineering or equivalent. Independent, highly analytical, proactive
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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