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Field
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invites applications for one a 1-year post-doctoral researcher, renewable up to 4 years, for interdisciplinary work applying tile-based programming abstractions to an adaptive mesh refinement computation
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attracting highly qualified talent. We look for researchers from diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security
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The Department of Biological and Chemical Engineering, Aarhus University, invites applications for a postdoctoral position on advanced modelling and optimization of pyrolysis plants integrated with
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implement AI/ML models (e.g., graph neural networks, transformer-based models) for retrosynthetic pathway prediction. Apply deep learning techniques to predict reaction outcomes, optimize reaction conditions
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-relationships, materials optimization, materials under extreme conditions, and generative AI. Candidates must possess substantial experience in artificial intelligence and machine learning methods, specifically
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. This position is designed for scientists with strong computational and quantitative training who are interested in agent-based modeling, network science, infectious disease dynamics, uncertainty quantification
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, …). Some effort may be dedicated to finding a tensor network topology (tensor train, tree tensor network, …) allowing to optimally represent vector fields arising from turbulence simulations. Then, this
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-interaction networks associated with the centrosome and primary cilium, with particular emphasis on the molecular mechanisms linking protein disorder, multivalency, cellular organization, and human disease
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, pneumonia, and tuberculosis. Functional/ mechanistic validation of regulatory elements and gene networks controlling inflammation, immune memory, and tissue repair will be implemented using CRISPR inhibition
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of neural networks, information-theoretic and optimal-transport perspectives on representation and generalisation, probabilistic numerics and Bayesian deep learning, and emerging frameworks for scientific