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of Data (AgData) . In its first two-year exploratory phase (2025-27), this program seeks to develop mechanisms, approaches, and networks which will serve as the basis for a longer second phase (approval
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Systems (ICMS), in which all polymer-related research groups at the TU/e participate. A description of the group can be found here: https://www.tue.nl/en/research/research-groups/polymer-performance-mate
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. The postdoctoral fellow will lead the development of cutting-edge, explainable graph neural network (GNN) models that integrate microbiome functional profiles, host genetic variation, and behavioral phenotypes from
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into applications and impacts that benefit Canadians and the world. The Lunenfeld-Tanenbaum Research Institute at Sinai Health , a fully affiliated member of the Toronto Academic Health Science Network (TAHSN
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efforts are centered in health equity to work collaboratively with and improve the lives of traditionally marginalized, vulnerable populations. The Institute also hosts and builds networks with partnerships
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are research in optimization and simulation of manufacturing systems. Teaching or other administrative tasks may be included up to 20 percent. The position requires: completed a PhD in mechanical engineering
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Research Center for Molecular Medicine (CeMM), ÖAW | Vienna, Virginia | United States | about 2 months ago
that transforms the future of pediatric cancer care. Science that makes a difference http://www.ccri.at Eligibility Criteria: You must hold a PhD (or will have been awarded your PhD by the time of starting the Pre
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. The ideal candidate should have a strong background in artificial intelligence and machine learning, with demonstrated experience in developing and training neural networks for predictive modeling. Position
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sustainability performance. Build mentoring skills by helping and advising PhD researchers. Lead and write peer-reviewed articles for high impact journals. Participate in events, give expert talks, support in
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) demonstration of oral and written language proficiency in English (with reference to the context where the candidate learned and perfected the language use); b) Detailed Curriculum Vitae; c) Copies of PhD degree