26 algorithm-development-"Prof"-"Washington-University-in-St"-"Prof"-"Prof" positions at Nature Careers in Sweden
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elements that don't create proteins but profoundly influence how plants develop and respond to their environment. Our research group has pioneered computational tools to identify these genetic elements, but
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of subclonal variation in cancer, we have developed a set of single-cell multiomics methods, such as DNTR-seq for joint WGS/mRNA-seq (see: Zachariadis et al. Mol. Cell 2020, Andrews et al. Nat. Methods 2021
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biotechnology, life sciences, molecular biology and biomedicine. In addition, it includes supervising research and contributing to development projects. Establishing a research program in translational
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Lallemend at the Department of Neuroscience, Karolinska Institute, to investigate the molecular landscape of the inner ear during development and under various physiological and pathological conditions. The
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ecophysiological measurements on plants, interpret isotope fractionation in terms of shifts in plant carbon metabolism, and prepare results for presentation at conferences and publication. Eligibility A person who
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the development and use of complex model systems that enable the study of biological functions at the multicellular, cellular, and molecular levels under conditions resembling the body’s tissues or organs. Duties
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high-impact research publications. We offer a stimulating and supportive research environment at Karolinska Institutet, with strong opportunities for academic development, interdisciplinary collaboration
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complexity science, mathematical modelling in evolution, ecology and plant biology, along with transferable skills, including interdisciplinary communication and collaboration. You will also be offered
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PhD Thesis based on ABIS. The main areas have so far been studies on the development of Type 1 diabetes, but also studies on celiac disease, JIA, IBD, autism, obesity, allergy and recently also
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The Rantalainen group is focused on application of machine learning and AI for development and validation of predictive models for cancer precision medicine, with a particular focus computational pathology. Our