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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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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
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both in vivo and in vitro, sequenced the genome of the Iberian newt, established stable transgenesis, and created genome-edited newts. Harnessing these technological developments, the group is combining
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, visualization, and development of new computational methods for processing and analysis of large-scale omics data. We welcome applications from candidates with pure computational background and those combining
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for publication. We offer a stimulating and supportive environment for career development, with opportunities for international collaboration and academic growth. Entry requirements We are seeking a postdoctoral
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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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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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with SciLifeLab, world leaders in spatial biology. The Engblom lab recently developed a new method to study B cells and B cell receptors within their tissue microenvironment using spatial
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effort aimed at the fundamental study and practical development of light-emitting electrochemical cells (LECs). The LEC is a novel technology that is attracting increasing interest from both academia and
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Cipullo et al. Nature Commun, 2024). The overall aim of the group is to combine these different areas of research to get insights into disease pathophysiology and to develop novel treatments. The successful