104 programming-"IMPRS-ML"-"IMPRS-ML" Fellowship positions at Nanyang Technological University
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Requirements: A PhD degree in mathematics or related areas, with a strong background in topological data analysis (TDA) and machine learning on biomolecular data Proficiency in programming languages such as
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programming, optical instrumentation, automation and data processing skills (e.g. C++, LabVIEW, Zemax, OSLO, TracePro, MATLAB, Python, ImageJ). Proven publication track record would be an advantage. We regret
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Strong foundation in CFD, Programming proficiency such as Python, AI/ML techniques, Experience with parallel computing on CPU/GPU cluster, use of CUDA, MPI is a plus. Experience Experience with open-source
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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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Optimization models for ATM system. Strong programming skills in Python, Java etc. Good English writing and communication skills for research work. Able to work independently while contributing effectively in
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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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of programming languages and interest in the implementation of algorithms relevant to the project The College of Science seeks a diverse and inclusive workforce and is committed to equality of opportunity. We
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to the programme of research. Job Requirements: PhD’s degree in Computer Engineering, Computer Science, Electronics Engineering or equivalent. Independent, highly analytical, proactive and a team player Excellent
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. Proficiency in ROS and experience with real-time system integration. Strong programming skills in Python and C++. Demonstrated ability to conduct independent research and work collaboratively. Experience with