100 programming-language "Data driven Materials Modeling" Postdoctoral positions in Denmark
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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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, 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. Academic staff
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other omics data High-quality publications Experience with project management Excellent writing and communication skills in English Excellent skills in initiating projects and working independently
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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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quantifying the roles of wetland management (draining, rewetting) and land use. Specifically, we hope to find a candidate who is eager to investigate new modelling techniques (e.g., differentiable programming
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, or related biodiversity forecasting approaches; advanced programming skills in R and/or Python and experience with reproducible analytical workflows; experience handling large geospatial, biodiversity
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) Publication experience in leading discipline or interdisciplinary journals Collaboration skills Communication skills with different stakeholders Danish language skills are an asset as the work also includes
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management systems Strong track record of scientific publications Excellent communication skills in English (oral and written) Who we are The Section for Electrical Energy Technology focuses on energy system
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Postdoctoral position for the project Human AI Collaboration: Imaginaries, Interventions, Interfaces
the department’s teaching and supervision activities and to teach and supervise at BA and MA levels. The department has the following educations: Information Studies, Bachelor's Degree Programme in (2018
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. Academic staff contribute to the teaching. English is the preferred language in the laboratory, at meetings and at seminars. The department employs approx. 500 people from all over the world, and they make