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modeling. Experience in cell culture, molecular cloning, and bioinformatics analyses is required. Proficiency in statistics and programming are highly meriting, especially in gene regulatory networks
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fish populations, primarily herring and cyprinids, using analyses of biological data collected from commercial fisheries in the Baltic Sea, as well as from scientific surveys conducted along the Swedish
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, transcriptome analyses and 2D and 3D image analyses, the latter using OPT and LSFM. The study also requires routinely used developmental and molecular biology methods, such as cloning of expression constructs
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research development. Description of the AMBER project context This post-doctoral position is part of the EU cofund research project AMBER, Advanced Multiscale Biological imaging using European Research
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two-year scholarship. Duties: Expected tasks include (1) data curation and statistical analyses of already acquired agronomic data from forage cultivars, species, and crop rotations (2) managing and
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? With data-driven methods, new opportunities arise to understand ecosystems as complex, dynamic networks. This project aims to analyse the world’s most extensive eDNA database, consisting of weekly
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of myocarditis through a systems medicine approach. By integrating data from genomics, virology, immunology, metabolomics, and microRNA analyses, all derived from well-characterized patient cohorts, we aim
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Join us to pioneer next-generation generative models that accelerate molecular dynamics. We seek a postdoctoral researcher to develop AI surrogates for molecular dynamics (MD), slashing
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tasks include implementing and developing methodologies for integrating state-of-the-art NMR and MS metabolomics analyses in biological samples, contributing to the development of hyperpolarisation-NMR
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carbon balance and evaluate the trade-offs and synergies among carbon balance, timber production and biodiversity values between conventional rotation and continuous cover forestry. The post-doc is further