11 proof-checking-postdoc-computer-science-logic Postdoctoral positions at University of Copenhagen in Denmark
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We are looking for a highly motivated and dynamic postdoc for a minimum two-year position starting from February 1, 2026. The postdoc will be dedicated to understanding barrier tissue immunity at a
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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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, interdisciplinary team working at the interface of computational biology, genomics, and molecular cancer physiology. Our laboratories aims to understand how biophysical microenvironments such as pH and oxygen (O
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have, a PhD in palaeoproteomics, archaeological sciences, or a related field. You have laboratory skills in in palaeoproteomics and associated computational data analysis. You have an active interest in
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, interdisciplinary team working at the interface of computational biology, genomics, and molecular physiology. Our groups, together with close collaborators aims to understand how biophysical microenvironments such as
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for this job through MathJobs.Org right now. Please apply at https://employment.ku.dk/faculty/?show=164796 . Contact: Postdoc administration Email: Postal Mail: Dept of Mathematical Sciences Universitetsparken
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teaching assistant. The Department of Mathematical Sciences has strong research groups in many areas of mathematics, and has an active postdoc and visitors' programme; we refer to our homepage for more
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. The NeuroGen Computing project Women leave computer science at twice the turnover rate of men. Neurodivergent people have an increased risk of dropping out of education due to isolation and burnout
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The Postdoc positions will contribute to the research portfolio at the Development Economics Research Group (UCPH-DERG) at the Department of Economics. UCPH-DERG currently has projects in Kenya, Mozambique
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Postdoc who, in addition to the desired expertise stated above, have the following skills and qualifications: A PhD degree in bioinformatics, machine learning, computational biology, statistical genetics