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of the detector upgrade. The LPC is also a major hub for Machine Learning developments for particle physics. There is close and frequent collaboration with the Fermilab theory community. The LPC provides
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of International Affairs (NUPI) is seeking three Postdoc candidates/ senior researchers (SKO 1109) for the interdisciplinary, ERC-funded Navigator project, which explores the (mis)use of country performance
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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | 3 months ago
. Helmut Grubmüller) invites applications for a PhD Student (f/m/d) in the field of Theory and Methods for Non-equilibrium Theory and Atomistic Simulations of Complex Biomolecule. Possible projects
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application! We are looking for a PhD student in theoretical physics with a focus on the theory of magnetic materials. Your work assignments Your tasks will be to carry out research using advanced theoretical
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using state-of-the-art single-cell omics technologies. The team consists of the principal investigator, two experimental scientists (doctoral students), one bioinformatician (postdoc), and one
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young scientists is an excellent educational programme covering all relevant aspects of scientific inquiry, including training in experimentation and theory. A specific feature serving as both an asset
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should have very good skills in the English language and a strong background in at least one of the fields relevant for research at ConVeY: Control theory, formal methods in computer science, or machine
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(density functional theory and ab-initio molecular dynamics simulations) with artificial intelligence techniques to parameterize machine learning force fields and kinetic Monte Carlo methods to model
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academia and industry. Requirements The following qualifications are required: Solid knowledge in mathematics and statistics, in areas such as linear algebra, probability theory, machine learning, high
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spectrum, in topics in virology and immunology, and currently specializes in computational biology focusing on developing methods and applications of deep learning for protein sequence and structure, as