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the following competencies and experience: Essential experience and skills: A PhD in bioinformatics, computational biology, genomics, evolutionary biology, health sciences, or a closely related quantitative field
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development Qualifications PhD degree in Bioinformatics, Computational Biology, Computer Science, Mathematics, Physics, or a related field Strong experience with programming in Python, R, or similar languages
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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 Take the next step in your research career
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benchmark the developed framework using project data, high-fidelity simulations including hardware in the loop, and relevant industrial case studies, assessing its robustness and computational performance
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Offer Starting Date 1 May 2027 Is the job funded 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
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hold a PhD, or have submitted a PhD thesis before the starting date, in computational materials science, physics, theoretical or computational chemistry, or a closely related field. The successful
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. Your competencies You hold a PhD degree in mechanical engineering or a closely related field, and you have a strong background in solid and computational mechanics. You have solid experience with finite
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of their personal background. Given the project’s empirical focus on educational settings in Denmark, applicants must be sufficiently proficient in the Danish language to conduct fieldwork and actively participate in
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, membranes, neuroscience and personalised medicine. The Department of Biomedicine provides research-based teaching of the highest quality and is responsible for a large part of the medical degree programme
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one language used for computational modelling and data analysis, such as Python, R, Julia, MATLAB, NetLogo, or C++. Preferably, you have demonstrated experience with data-driven computational modelling