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Field
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sciences, computer science, machine learning, and education research. Research Themes The research themes identified for the NTO postdoc include, but are not limited to, the following: Developing
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vision and novel applications of machine learning. Advanced knowledge of R or Python is required. Intermediate knowledge in C/C++ and/or at least one SQL dialect is preferred. Apply online at https
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Area here . The post doc will be a member of and expected to contribute to the Profile Area’s interdisciplinary research network. The Division of Human Rights Studies offers Bachelor-, Master’s- and PhD
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behavior of these components will be developed based on Finite Element Methods (FEM) complemented by Machine Learning models. Legislation and Regulations: Statute of Scientific Research Fellow, approved by
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preparation for use in AI models; - Experience with explainability techniques for Machine Learning models; - Desirable experience with system modernization. To apply, send an email with the subject “Inscrição
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computational costs by orders of magnitude and enabling breakthroughs in drug design and materials science. The position bridges machine learning and molecular science, with opportunities for collaboration
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renewal. The Fellow will be expected to be in residence, to conduct research in Duke's library and archival collections, to participate actively in the intellectual life of the university, to teach up to 2
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combine density functional theory (DFT), molecular simulations, and machine-learning force field (ML-FF) development to uncover the factors controlling NHC–surface interactions and to model realistic
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” research themes. The successful candidate will have: a PhD in Translation Studies/Machine Translation; practical experience conducting data-driven research in a machine translation/large language models (LLM
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of Global Development Postdoctoral Associate – Transdisciplinary Agroecology Seeking a postdoctoral associate with PhD research and training in social science fields related to transdisciplinary agroecology