211 web-programmer-developer-"INSERM" Fellowship positions at Nanyang Technological University
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journals. Internal knowledge transfer, and collaborative research efforts. Develop and evaluate AI models, including, but not limited to, those for Multi-Agent Systems, Multi-Agent Reinforcement Learning
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offers a unique opportunity to drive high-impact research in a collaborative and innovative scientific environment. Key Responsibilities: Contribute to the development and optimization of protein
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, new methodology development, and the synthesis and biological activity evaluation of functional small molecules. Demonstrate a strong record of successful research in the aforementioned areas, including
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processes and develop innovative tools in cell biology. Key Responsibilities: Conduct experimental research using quantitative biochemistry, biophysics, and cell biology. Develop and optimize advanced
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economics Develop state-of-the-art algorithms in algorithmic game theory and fair division Design and conduct experiments to evaluate the algorithm performance Job Requirements: PhD degree in computer science
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and conceptual abilities Proven ability to publish in conferences and journals Ability and willingness to train and supervise graduate students Background in physicochemical analysis (PhD or engineer
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Responsibilities: To carry out research and development of predictive AI techniques for antibody and antigen interaction prediction To determine mechanisms of action of biologics (peptides and antibodies) for cancer
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in Free Space-Time Job Description Demonstrate and measure the breakthrough concepts in nanophotonics using optical sources such as transmission electron microscope Develop high-impact theory
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Responsibilities: Develop and maintain codebases Do experiments to measure and evaluate performance of cloud systems Read and write related academic papers Engage in and facilitate teamwork Co-supervise UG students
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cutting-edge research in computational X-ray photonics. The research fellow will assist in the development of novel theoretical numerical framework pertaining the generation of compact, high quality X-rays