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and in silico. We focus on neurodegenerative processes and are especially interested in Alzheimer's and Parkinson's disease and their contributing factors. The LCSB recruits talented scientists from
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The Section of Bioinformatics, DTU Health Tech is world leading within Immunoinformatics and Machine-Learning. Currently, we, together with a leading external pharma company party, are seeking a
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, advanced omics technologies, bioinformatics, and clinical collaboration to address fundamental and translational questions in tissue repair. As a member of our multidisciplinary team, you will work in a
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immune responses By combining transcriptomics, immunohistochemistry, advanced imaging, and physiological assays across, we aim to elucidate the fundamental processes underlying the evolutionary success and
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oral microbial communities mediate differences in oral and systemic health using an evolutionary health framework. There will be a specific emphasis on applying advanced bioinformatics and statistical
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working on related topics Participate in teaching and supervision activities, in line with the candidate's profile and interests The research activities will be hosted by the Parallel Computing and
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opportunities. What you'll bring Essential Hold a Ph.D. in a relevant field (e.g., Computational Biology, Bioinformatics, Machine Learning, Systems Biology, Genomics, or a related discipline), or be in the final
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to therapeutic discovery You bring PhD in computational biology, bioinformatics, computer science, or related field Strong coding skills (Python required; ML frameworks preferred) First-author publication(s
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, genetics and physiology Experience with bioinformatics and coding in Python or other programing language Experience with protein software tools like AlphaFold3, Boltz2, PyMOL, Chimera, etc. Interest in
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endosymbiotic interactions between soil microbes and crops. The overall aim of the project is to characterize novel signalling processes that enable plant root endosymbiosis. The role: Working as part of a team