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Field
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of mathematical proof automation: You identify and address research questions in the field of mathematical automation in numerical analysis or approximation theory. You implement the developed methods in Lean. You
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(link is external) ); Monocle 2 and 3 for unsupervised pseudotemporal trajectories inference: Qiu et al., Nature Methods, 2017a/b (https://doi.org/10.1038/nmeth.4150 (link is external) , https://doi.org
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techniques tailored to repair and remanufacturing, supporting sustainable production methods for the future. Responsibilities and qualifications You will join the Section of Manufacturing Engineering at DTU
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Do you have experience with modelling structures subjected to dynamic loading? Are you interested in data-driven methods for modelling applied loading? Are you eager to share your knowledge within
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and 2005 and utilising various methods from history, digital humanities, and cultural studies. The position is 2,5 years (30 months). The position is based at the Department of History and Classical
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Grant Agreement signed with the European Commission, at least one original publication in a peer-reviewed journal, a background in the relevant methods, a complete application package submitted through
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Grant Agreement signed with the European Commission, at least one original publication in a peer-reviewed journal, a background in the relevant methods, a complete application package submitted through
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, antibodies, and their complexes using techniques such as cryo-electron microscopy (cryo-EM), X-ray crystallography, and supporting biophysical methods. Responsibilities will include protein expression and
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pipelines and methods for neuroimaging. The successful candidate will join a dynamic team of scientists conducting a wide range of research with state-of-the-art tools. The IMG operates three beamlines
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formally conferred: in this case, the candidate may present evidence of completion of the degree requirements, together with a statement documenting the date on which the degree is to be conferred