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. The Department of Chemistry at Aarhus University (www.chem.au.dk) is one of the leading European chemistry departments with a broad research program. It has a permanent staff of ~35 full and associate professors
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, mathematical and programming contexts Your research will include extending and contributing to models and codes, including both high- and low-level programming languages, e.g. Python/Matlab to the development
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. The Department of Chemistry at Aarhus University (www.chem.au.dk) is one of the leading European chemistry departments with a broad research program. It has a permanent staff of ~35 full and associate professors
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contingent on a positive assessment and being chosen by the hiring committee for the position. A mentoring programme will be offered, tailored to the individual applicant. PACE – Lundbeck Foundation
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framework to enable iterative improvement and seamless feedback between generative design and predictive modeling. Responsibilities During the PhD program, you are expected to: Research and develop novel
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mathematics or related field Strong programming skills in python, C, C++ or other similar programming languages Strong communication skills in English, both oral and written The ability to work both
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. This requires submission and acceptance of an application for the specific project formulated by the applicant. The PhD study must be completed in accordance with The Ministerial Order on the PhD programme (2013
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. in the graduation class for the study programme. List of publications and maximum 2 examples of relevant publications (in case you have any publications). References may be included, you're welcome
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through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you a researcher focused on thermal
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group and develop an innovative and impactful research program, which includes, but is not limited to, population and evolutionary genetics, metagenomics, eDNA-based monitoring, and phylogenomics