22 algorithm-development-"Prof"-"Washington-University-in-St"-"Prof" Postdoctoral positions at Nature Careers in Sweden
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within tissues using our in-house developed spatial transcriptomics-based technology (Spatial VDJ). Using established and newly developed algorithms, we map B cell evolution within tissues, including class
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laureate Emmanuelle Charpentier, who discovered the CRISPR-Cas9 gene editing technology during her time as a scientist and group leader in Umeå. The ‘EC’ Postdoctoral fellow will: Develop a collaborative
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A 2-year funded postdoctoral fellowship position in understanding the molecular mechanisms and behavioral consequences of normal and abnormal mouse spinal cord development has become available
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research group: https://www.gu.se/en/research/anders-stahlberg Subject area Cancer diagnostics and tumor biology Subject area description This project aims to develop and use next generation cancer
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metabolism with applications in neuron development B. Multiscale physiological response of reef-forming marine algae to environmental stress C. Financial Risk Management and Decision Making in Biodiversity
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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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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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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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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