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Field
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on building and understanding foundation models for science, and in particular modeling complex interconnected systems from astronomy, biology, fluid dynamics to solar physics. For this position, we are looking
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neuroscience, and brain-computer interfaces, machine learning and deep learning, statistical modelling, regression methods, and uncertainty quantification, calibration, interlaboratory comparisons, and
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experiments, and validation of computational models. Required Qualifications: A successful applicant must have a PhD in Civil Engineering, Engineering Mechanics, or Mechanical Engineering. Applicants
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Infrastructure? No Offer Description The selected candidate will lead the metabolic modeling efforts within our Biotechnology pillar. The primary goal is to use computational modeling and network analysis
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, and tracking), the creation of explainable AI methods to interrogate scientific datasets, and the design and implementation of mechanistic models of biological processes that work together
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Date 1 Jul 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description We
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of renewal subject to satisfactory performance. Applicants should possess a Ph.D. degree in Computer Science, Mathematics, Statistics, computational biology, related disciplines or equivalent. They should be
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, to conduct quantitative research on wildlife pathogen surveillance and aquatic invasive species modeling within the Department of Veterinary Population Medicine. The position involves wildlife disease
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modelling of nitrogen, carbon and water fluxes in agricultural dominated landscapes. The position will be available starting August 1, 2026, or as soon as possible thereafter. The position is available for a
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complementary efforts in modeling and simulation as well as experimental process development within an integrated experimental–computational research framework. Research will include process development