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Number: JR88866 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
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environment project, we will develop automated species and community recognition, particularly focusing on pathogenic soil fungi, with help of deep-learning algorithms fed with microscopic image and Raman
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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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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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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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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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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