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Declaration of interest regarding PhD project within the field of biomarker and therapeutic targe...
in tissue damage and disease development. The research is characterized by close integration of basic and translational approaches, as well as well-established collaboration with clinical environments
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for Genomic Epidemiology but substantially contribute to the work at the Section of Epidemiology. The Research Group for Genomic Epidemiology at DTU National Food Institute conducts research within evolution
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Applying machine learning-guided directed evolution to improve multiple enzyme properties Upscaling selected biotransformation reactions in collaboration with academic partners Responsibilities and
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and technical-administrative staff and you have a flair for establishing collaborative relationships. Read more about the Department of Food Science at: https://food.au.dk/ The place of work is
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, 33621493, 33087936, 30566856, 39947938; doi: https://doi.org/10.1101/2025.03.15.641049 ). Postdoctoral Projects Project 1: Replisome Dynamics, Replication Stress, and Cancer Vulnerabilities This project aims
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, professional development, and supervision within reproductive and female-related epidemiology. The postdoc(s) will be affiliated with the FEMME project (FErtility and Medically assisted reproduction: Mapping
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archival). Your primary tasks will be: Development of new research projects in collaboration with colleagues at the DTU Aqua sections and/or international partners. Publication of papers in peer reviewed
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development of deep learning tools applied to different types of genomic data, proteomics, expression data, immune profiling, metabolomics data, or general health data. You will have a proven track record of
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research CV including employment history, list of publications (applicants applying for the position as associate professor should indicate scientific highlights), H-index and ORCID (see http://orcid.org
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. The candidates must hold a PhD in Chemistry/Physics. Experience in data framework development, kinetic/thermodynamic modeling, and collaborative interdisciplinary research. An education history in chemical