117 parallel-programming-"Multiple"-"Humboldt-Stiftung-Foundation" Fellowship positions at Nanyang Technological University
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to contribute to Journal/Conference papers with good presentation skills. Able to plan and organize well and adhere to deadlines We regret to inform that only shortlisted candidates will be notified. Hiring
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/materials science, AI/ML, and computational modelling (DFT, MD, etc.) Good publication record Good written and verbal communication skills Proficiency in programming We regret that only shortlisted candidates
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Materials, Bioinspired Materials and Sustainable Materials. For more details, please view https://www.ntu.edu.sg/mse/research . The Decarbonisation Programme “Singapore Max-Planck Alliance for the Sustainable
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Materials, Bioinspired Materials and Sustainable Materials. For more details, please view https://www.ntu.edu.sg/mse/research . The Decarbonisation Programme “Singapore Max-Planck Alliance for the Sustainable
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of multi-physics systems, especially acoustic problems Expertise in generative design of compliant robotic structures Proficiency in basics of programming languages such as C++, Python, and/or Matlab Strong
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conversion technologies. Key Responsibilities: Participate in the conduct of the biomass conversion program with research team members to ensure transfer from laboratory-scale catalyst and chemical processes
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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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transport engineering, maritime transport and management, computer science, or a related field from a good university; Excellent programming skills, such as Python, C++, Java, Julia, or other competent
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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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preferred. A track record of publication in reputable conferences or journals is a plus. Proficiency in programming languages relevant to algorithm implementation is desirable. Strong analytical thinking