252 parallel-computing-numerical-methods Postdoctoral research jobs at Nature Careers
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establishments (Université Côte d'Azur, CNRS, INRAE, INSERM ...), but also with the regiona economic players. With a presence in the fields of computational neuroscience and biology, data science and modeling
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innovative strategies to improve human health. HT is composed of five Centers: Health Data Science, Genomics, Computational Biology, Neurogenomics and Structural Biology. The Centers work together to enable
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state-of-the art methods. Extensive experience in Heterogeneous Catalysis research area as evidenced through peer-reviewed journal publications. Applicants are encouraged to add their three best
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Program research grant, this project brings together complementary expertise of the Zhulyn (Canada), Lagha (France), vanOudenaarden (Netherlands) and Kelleher (US) labs for a team-driven, multidisciplinary
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Nature Careers | Vancouver South Shaughnessy NW Oakridge NE Kerrisdale SE Arbutus Ridge, British Columbia | Canada | about 1 month ago
, mathematics, and data science. Collaborative projects merge traditional geographic research with advanced computational methods such as graph neural networks (GNNs) and large language models (LLMs) to explore
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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consortium SynThera funded by the Carl Zeiss Foundation (www.synthera.eu/ ). We are seeking an excellent and enthusiastic post-doctoral researcher with a strong interest in computational microbiome research
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Martinsried hosts multiple academic institutions and numerous biotech companies. Munich stands out as one of Europe's premier hubs for life scientists, offering an exceptional quality of life. Its unique blend
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bioinformatics, and statistical modeling to decode the complex molecular mechanisms that shape human vision. By leveraging high-dimensional data and cutting-edge computational analyses, we aim to uncover
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experimental and numerical approaches. Materials classes of interest include components (monomers, polymers, additives, (nano)particles, etc.) utilized in high-performance polymeric materials with relevance in