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Post Doc position in transition metal catalysis and carbon capture Are you interested in combination of transition metal catalysis, and can you contribute to the development of materials for CO2
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data. Manage preferences for further information and to change your choices. Accept all cookies Reject optional cookies Skip to main content Post Doc position in transition metal catalysis and carbon
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data. Manage preferences for further information and to change your choices. Accept all cookies Reject optional cookies Skip to main content Post Doc position in transition metal catalysis and
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Post Doc position in transition metal catalysis and plastic recycling Are you interested in transition metal catalysis, and can you contribute to the development of thermoset polymer recycling? Then
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Secure Collaboration on top of the Digital Twin as a Service Platform This PostDoc project focusses on extending an existing digital twin platform called DTaaS with better support for collaboration between different legal entities in a secure manner. Digital twins are software representations of...
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The Department of Computer Science, Aarhus University invites applications for postdocs. Supported by a generous ERC Advanced Grant and a Villum Investigator Grant from Villum Fonden we have several postdocs positions in the Center for Basic Research in Program Verification (CPV) at Department of...
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data. Manage preferences for further information and to change your choices. Accept all cookies Reject optional cookies Skip to main content Postdoc Position in Neuro-morphic Reinforcement Learning
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We are seeking a postdoctoral researcher to join an interdisciplinary team developing deep learning models for antimicrobial resistance (AMR) detection directly from MALDI-TOF mass spectrometry data
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, or as soon as possible thereafter Project Description We invite applications for a postdoctoral position at the interface of computational proteomics, machine learning, and mass spectrometry. The
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, explainable AI, or feature analysis in scientific machine learning Interest in peptide chemistry, gas-phase ion behavior, or post-translational modifications Experience with reproducible workflows, FAIR data