14 postdoc-molecular-dynamics-simulation Postdoctoral positions at SciLifeLab in Sweden
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Lund University was founded in 1666 and is repeatedly ranked among the world’s top universities. The University has around 47 000 students and more than 8 800 staff based in Lund, Helsingborg and Malmö. We are united in our efforts to understand, explain and improve our world and the human...
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Prize in Chemistry, was made here. At Umeå University, everything is close. Our cohesive campuses make it easy to meet, work together and exchange knowledge, which promotes a dynamic and open culture
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Department of Ecology We are looking for a postdoc/researcher to develop and implement tools for analysis of output from Bayesian inference under phylogenetic models About the position A postdoc
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Genetics at the Swedish Museum of Natural History is offering a two-year Postdoc position focused on theory of adaptive radiation. Work tasks We will focus on building spatially explicit and trait-based
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of reference genomes, annotation, and characterization of transposable elements) with population genomics (such as variant calling and analyses of hybridization), and simulation-based approaches. This Postdoc
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) at Uppsala University broadly spans the areas of biochemistry, cell and molecular biology, tumour biology, comparative genetics, functional genomics, immunology, bacteriology, and virology. The department is
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forward towards their goals within molecular life sciences. Competitive salary and benefits, including access to the Swedish social security system, to support work-life balance. Our Commitment
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Umeå University, Faculty Office of Medicine Together with The Laboratory for Molecular Infection Medicine Sweden (MIMS) and the SciLifeLab & Wallenberg National Program for Data-Driven Life Science
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dynamical systems theory, including differential equations, simulation techniques, state-space and input-output representations, time-delay embedding, and/or time series analysis from experimental data
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a research projects that link regulatory variation to molecular, cellular and organismal phenotypes using a systems genetics approach. This fully computational position focuses on integration of human