258 assistant-professor-computer-science-data-"Multiple" Postdoctoral positions in Germany
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evolution, molecular microbiology, synthetic communities, and computational biology. The project aims to pioneer a novel form of phage therapy by engineering prophages—phages integrated into bacterial genomes
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expertise from the whole group in multiple facets of quantum technology and optimization Direct contact with research project writing, reviewing and management process Opportunity to participate in
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metabolic disorders. Backed by a prestigious ERC Proof of Concept Grant, we are now looking for a Researcher or Postdoc (f/m/x) with a background in engineering or physics – and the ambition to help shape
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, trauma and history are entangled. Job description: In close coordination with the project management and the other project staff, the computer-assisted analysis of interviews with Holocaust survivors will
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with an annual research budget of 3.4 billion euros. The Fraunhofer Institute for Molecular Biology and Applied Ecology IME conducts applied life sciences from the molecule to the ecosystem. It is our
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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | 1 day ago
intriguing for you. Your profile Successful candidates have strong skills in computational molecular (bio)physics, structural biology and scientific computing, as well as a keen interest in
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is connected to the vibrant local ecosystem for data science, machine learning and computational biology in Heidelberg (including ELLIS Life Heidelberg and the AI Health Innovation Cluster ). Your
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campus for natural and life sciences in Germany, bridging engineering sciences, computational sciences, and life sciences. Heidelberg University invites applications for the following full-time postdoc
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The Fraunhofer Institute for Molecular Biology and Applied Ecology IME conducts applied life sciences from the molecule to the ecosystem. It is our vision to pave the way to a sustainable future
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computer science, bioinformatics or related fields Solid understanding of machine and deep learning and relevant frameworks (e.g. Pytorch or Tensorflow, Keras, scikit-learn, OpenCV) Proficiency in Python, Linux and