34 parallel-computing-numerical-methods positions at University of Copenhagen in Denmark
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and computational biology: Molecular biology, especially genomics methods Spatial omics, including spatial transcriptomics Bioinformatics, especially integration of multi-omics datasets and spatial data
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of biological macromolecules, such as small-angle X-ray scattering (SAXS), isothermal titration calorimetry (ITC), and thermal shift assay (TSA). Experience and knowledge of computational methods, such as
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) further study of the method, to understand how the 13C signal develops and is distributed in the plant, and how sampling can be optimized to show such effects of even shorter dry periods, typical
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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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the Faculty of Health and Medical Sciences, University of Copenhagen. Job description As a group leader, you will establish an independent research program within translational diabetes type 1 research. Your
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Starting Date 1 Sep 2026 Is the job funded through the EU Research Framework Programme? Horizon Europe - MSCA Marie Curie Grant Agreement Number 101226229 Is the Job related to staff position within a
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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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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