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Position Summary The Marti Lab in the Department of Cell Biology & Physiology builds next-generation imaging and AI tools to reveal how health, aging, and disease progress inside living mammals. We
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this position will be to provide in vitro biochemical, biophysical and structural data from novel mutants of the EGFR kinase domain to drive and validate algorithmic development. Organisation The vacancy is
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of the Austrian Academy of Sciences. Selected candidates will join one of CeMM’s research groups for 3 to 6 years, addressing ambitious research questions in areas such as cancer, immunology, chemical biology
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type (iv) work with the computational biology team to transfer this information into a AI algorithm that can distinguish neurodegenerative and neuroprotective phenotypes (v) work with colleagues in
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it; as well as have theoretical skills including algorithm implementation/development and data visualization. Experience and interests include designing machine learning pipelines, building web
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record in either: next-generation sequencing (NGS) methods, biostatistics methodologies, genetic/molecular epidemiology, and/or bioinformatics or computational biology approaches/pipelines is required
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genetics and genomics, with expanded interests in computational biology, functional genomics, and neuroscience. Example projects within the university and with external partners: ⢠Noncoding Variation in
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genomics, with expanded interests in computational biology, functional genomics, and neuroscience. Example projects within the university and with external partners: • Noncoding Variation in
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these issues. The center brings together experts on climate impact research and process-based modelling of biogeochemistry, agronomy, biology and geography from Aarhus University and University of Copenhagen, as
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University of British Columbia | Northern British Columbia Fort Nelson, British Columbia | Canada | about 2 months ago
: · PhD in Mathematical Biology, Ecological Modeling, Economics, Fisheries Science, or a related field. · Strong background in ecological and/or economic modeling, population dynamics, and quantitative