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advanced data analysis methods, simulation tools, and scientific programming to support process modeling and predictive materials design. Translate experimental findings into scalable, commercially viable
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Job Description Job Alerts Link Apply now Job Title: Senior Research Fellow Posting Start Date: 29/01/2021 Job Description Senior Research Fellow @ NUS Medicine BSL-3 Core Facility The National
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to the applications of mathematics in cryptography, computing, business, and finance. PAP covers many areas of fundamental and applied physics, including quantum information, condensed matter physics, biophysics, and
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of lab-scale and pilot-scale experiments/operations with element of machine learning, sample characterizations, data analysis, and so on. Job Requirements: PhD degree in Materials Science, Polymer Science
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Responsibilities: To independently undertake research on data-efficient object detection with key techniques in few-shot learning, transfer learning, image synthesis, etc. To produce research reports and/or
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an emphasis on technology, data science and the humanities. Key Responsibilities: The appointed Senior/Research Fellow will lead studies on cancer immunity translational research. The successful candidate will
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aquaculture (e.g., behavioral analysis, growth prediction, digital twin, computer vision.) Develop, train, and validate advanced computational models and machine learning algorithms tailored to complex datasets
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an emphasis on technology, data science and the humanities. The Research Institute for Cancer Prevention, Screening and Early Detection has recently been established as a joint initiative between the Lee Kong
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on energy-efficient circuit design and software-hardware co-optimization, with exciting applications in graph-based prediction. What we’re looking for: A PhD in Electrical and Computer Engineering or a
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experimental data. Communicate findings clearly through technical reports, papers, and presentations. Collaborate effectively within the group and with external stakeholders. Be willing to mentor both