154 programming-language-"U"-"U" Fellowship research jobs at Nanyang Technological University
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computer programming to verify the efficiency of the designed solution algorithms Analyze data acquired from the field survey Develop machine learning models for prediction and recommendation Job
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other duties relevant to the programme of research. Job Requirements: PhD degree or at least 8 years working experience in Computer Engineering, Computer Science, Electronics Engineering or equivalent
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part of the Smart Gripper for Soft Robotics program. The program aims to deliver soft active gripper for manipulation of objects for industry applications. The design of coating, materials preparation
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related fields, with a focus on membrane trafficking. Experience in light microscopy. Strong written and verbal communication skills in English - essential for data analysis and communication with
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for educational uses Good hands-on experience in programming, e.g., C/C++/C#, CUDA, Python, and scripting Track record in research and publication particularly in education Strong knowledge and hands-on experience
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and report project progress. Ability and willingness to work some flexible hours. Strong interest in systems research Strong programming skills in C++, Golang, or Rust and Python We regret that only
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The School of Chemistry, Chemical Engineering and Biotechnology (CCEB) is an interdisciplinary school at NTU which hosts world-class education and research programs in organic and inorganic
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Responsibilities: Conduct programming and software development for data management. Design and implement machine learning models for optimizing data management. Conduct experiments and evaluations of the designed
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of written and verbal English. Capable of working collaboratively in a team as well as independently We regret that only shortlisted candidates will be notified. Hiring Institution: NTU
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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