385 machine-learning-"https:" "https:" "https:" "https:" "https:" Fellowship positions
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Science, Artificial Intelligence, Machine Learning, Data Science, Engineering, or a closely related technical field. Demonstrated knowledge of or interest in Indigenous Knowledge Systems and interest in applying IKS
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, and the military. Both quantitative and qualitative approaches would be relevant, and comparative approaches (cross-sector, cross-institutional, cross-national, or other) are welcome, but not required
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 months ago
accessed using the link above. Jiawei Zhou Ph.D. The candidate will be co-mentored by Dr. Yanguang (Carter) Cao and Dr. Jiawei Zhou to advance the development of artificial intelligence/machine learning (AI
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, software applications, record keeping, compliance training, and the principles of scientific study design. Learning both general and specialized research skills that will support advancing your scientific
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, Physics, or any related field Strong background in machine learning, PINNs and control theory Excellent verbal and written communication skills Proficiency in programming languages in Python and/or C/C++. A
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field Strong background in control theory, optimisation-based algorithms and/or machine learning Excellent verbal and written communication skills Proficiency in programming languages in Python and/or C/C
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, computational biology, bioinformatics, biostatistics, machine learning, or a related discipline. ● Strong background in at least one of infectious disease modelling, phylogenetics, or phylodynamics (background in
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Posting Summary Logo Posting Number RTF00239PO25 USC Market Title Post Doctoral Fellow Link to USC Market Title https://uscjobs.sc.edu/titles/156387 Business Title (Internal Title) Postdoctoral
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Posting Summary Logo Posting Number RTF00239PO25 USC Market Title Post Doctoral Fellow Link to USC Market Title https://uscjobs.sc.edu/titles/156387 Business Title (Internal Title) Postdoctoral
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economic assessments machine learning or proxy-model based methods field scale simulation geological features geomechanics reactive flow The PhD fellow are not expected to master all these topics. Project