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welcome creative thinking and new ideas. Support for international researchers and their families, including Relocation Service and an Expat Partner Programme Living and working in Denmark Subsidised
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machine learning. We focus on inductive logic programming (ILP), which learns logical rules from data. We primarily use automated reasoning techniques, such as SAT/ASP/SMT/MaxSAT solvers, to learn rules
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programming skills in SAS, JMP, R Statistical Software, or others and a strong publication record. A post-graduate degree (PhD, DVM or equivalent) in veterinary, animal, or the biological science is desired but
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welcome creative thinking and new ideas. Support for international researchers and their families, including Relocation Service and an Expat Partner Programme Living and working in Denmark Subsidised
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development towards optimizing and understanding sonochemical nitrogen fixation to help advance our internationally leading programme of research. This work will also contribute towards building a case for a
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sciences for the programmes of professional study in medicine and the Master's programme in clinical nutrition. The Institute has more than 300 employees and is located in Domus Medica. Questions about the
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independent research at a high international level, including publication Develop, optimize, and maintain microfluidic systems and workflows for organ-on-chip experiments combined with MR measurements Plan and
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. To liaise with research colleagues and make internal and external contacts to develop knowledge and understanding to form relationships for future research collaboration. To plan and manage own research
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development towards optimizing and understanding sonochemical nitrogen fixation to help advance our internationally leading programme of research. This work will also contribute towards building a case for a
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or statistics. They will bring strong analytical and programming skills, with experience in techniques such as algorithmic auditing, explainable AI (XAI), model evaluation, or reverse engineering of predictive