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academic qualifications at PhD level. Who we are The post-doc will collaborate with the ORBIT consortium and be affiliated with the Center for Information Systems Research and the AI:Xpertise Lab
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relevant for the position. A certified/signed copy of a) PhD certificate and b) Master of Science certificate. If the PhD is not completed, a written statement from the supervisor will do. List
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of the faculty’s research groups. You should state which research group or center you would like to join (max. 1,000 words). A current curriculum vitae (e.g. using the EU model), clearly stating your educational
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of the faculty’s research groups. You should state which research group or center you would like to join (max. 1,000 words). A current curriculum vitae (e.g. using the EU model), clearly stating your educational
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thereafter. Explaining complex AI models is a key challenge for ethically responsible AI. Explainable AI (XAI) research aims to provide relevant information to assist developers and users in analyzing AI
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perturbation experiments to understand how cell type-specific epigenomes emerge during mammalian development, using gastruloids as an in vitro differentiation model. We aim for an open and collaborative work
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postdoctoral researcher to join an interdisciplinary team developing deep learning models for antimicrobial resistance (AMR) detection directly from MALDI-TOF mass spectrometry data. The project is funded
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, and survey experiments. The third studies strategic interactions in corruption markets using experimental designs embedded into virtual reality scenarios that simulate procurement and regulatory
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role in developing and implementing novel computational models within a boundary element framework, coupling the BEM with models for flow separation, viscous drag and cavitation. There is room to shape
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with proteomics experts. You will be working primarily with mice models and primary neuron cultures. You will be involved in the Center for Proteins in Memory (PROMEMO) funded by the Danish National Research