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Field
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Postdoctoral Associate Academic Job Description Department of Food Science Postdoctoral Associate The College of Agriculture and Life Sciences (CALS) is a pioneer of purpose-driven science and
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address these questions using TFE3-rearranged renal cell carcinoma (tRCC) as a unique model of transcription factor-driven cancer. The successful candidate will combine mechanistic molecular biology
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significant contributions to AI that demonstrate high potential for research impact. · Published research experience in AI for scientific discovery and/or AI-driven biomolecular modeling and/or scientific
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Potsdam-Institut für Klimafolgenforschung e.V. (PIK) | Potsdam, Brandenburg | Germany | about 2 months ago
, public policy, political science, physics, engineering, operations research, environmental sciences or a related field. Strong analytical skills with a passion for applied modeling. Track record in
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-powered data analysis to advance hypothesis-driven research related to addiction. Computational analysis of previously collected data can increase the speed and efficiency of life sciences research
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | about 2 months ago
simulation, shape/topology and system-level design optimization applied to deformable systems — advanced level Data-driven design and modelling approaches (machine learning applied to physical/mechanical
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anticipation capabilities in a highly dynamic context. · Model-based and data-driven shared human/vehicle control: o Mechanisms to enable driver trust; estimation of trust metrics and human cognitive
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Position Description Department of Food Science Postdoctoral Associate The College of Agriculture and Life Sciences (CALS) is a pioneer of purpose-driven science and Cornell University’s second
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EPFL, the Swiss Federal Institute of Technology in Lausanne, is one of the most dynamic university campuses in Europe and ranks among the top 20 universities worldwide. The EPFL employs more than
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at local and international level, collaborating with AI researchers, engineers and pathologists, to develop and validate your models. Join the nascent Computational Pathology Group Barcelona and