33 parallel-computing-numerical-methods positions at University of Copenhagen in Denmark
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We are looking for a highly motivated and dynamic assistant professor who has worked with computational neuroscience and neuroengineering for a two year position with the Berg Laboratory to commence
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include data science management and development of novel and executing existing computational methods including machine learning and deep learning methods to integrate genomics, transcriptomics and
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to achieve this by gaining an enhanced understanding of airway immunity and incorporating innovations in vaccine technologies and delivery methods. As the COVID-19 pandemic highlighted, progress and
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histories in Central Eurasia by applying palaeoproteomic methods to a selected number of archaeological sites in the region. The position is based in a research group composed of evolutionary and molecular
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-based research approaches, GIS / PPGIS, and qualitative methods. The ideal candidate will have training in biodiversity management, recreation ecology and outdoor recreation planning, and experience in
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physicochemical methods for investigating non-equilibrium multicomponent colloidal systems relevant to food material science. The focus of the Center spans a range of experimental neutron techniques, the design and
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afterwards. The position is part of the DFF Sapere Aude project MiddleEarth, which aims provide unique insights into the hominin occupation histories in Central Eurasia by applying palaeoproteomic methods to a
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Offer Starting Date 1 Apr 2026 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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2026 Is the job funded through the EU Research Framework Programme? Horizon Europe - MSCA Marie Curie Grant Agreement Number 101226660 Is the Job related to staff position within a Research
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built on community, trust, openness, honesty, and solidarity and strives to embody the scientific method, objectivity, and reproducibility. We value open science, knowledge and data sharing and science