160 assistant-professor-computer-science-data-"https:"-"https:" Postdoctoral positions in Germany
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cells to interact with their environment. We use an interdisciplinary approach from protein biochemistry to cell biology to analyze the machinery and mechanisms that monitor cellular protein biogenesis
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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | about 2 months ago
. What we offer State of the art on-site high performance/GPU compute facilities Competitive research in an inspiring, world-class environment A wide range of offers to help you balance work and family
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In the ERC-funded project CASTLe (https://www.castle.unifi.it ) we aim at a fundamental understanding of chirality-induced spin selectivity (CISS) and investigate potential applications in quantum
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natural and AI-designed protein domains, along with an engineered fusogenic protein. The technology has been recognized with the m4 Award, the GO-Bio next program, and is currently under revision in a top
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problems or machine learning more broadly. We are looking for candidates with strong mathematical skills and interests. A requirement for the position is a master’s degree in electrical engineering, computer science
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(Heilbronn Education Campus). TUM Campus Heilbronn focuses on the areas of managing digital transformation, family businesses, and computer science. Requirements - Master’s degree in computer science with very
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Exploratories (SPP 1374, project 8) and Illuminating gene functions in the human gut microbiome (SPP 2474, project Z01). Your tasks: Assistance in the organization and execution of large-scale soil sampling
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this position; no new applications will be accepted after 2026/01/22 11:59PM US Eastern Time. Position Description The Institute of Algebraic Geometry invites applications for the position of a Research Assistant
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on the true, astrophysical candidates is a computational needle in a haystack. To tackle these “big data” challenges, astronomers have begun to employ machine learning techniques. The application of machine
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of comparative social policy and comparative research methods. The applicant is expected to hold a PhD in Political Science, Sociology, Economics or a related discipline. Knowledge and experience in data