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. Work tasks Statistical analyses of biological data, primarily for herring and cyprinids, collected from the commercial fishery as well as from scientific surveys in the Baltic Sea to assess spatial
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transparent models. The Privacy-aware transparency decisions research group (led by Prof. Vicenç Torra) conducts research in data privacy for data to be used for machine and statistical learning. It is well
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, genotyping, immunohistochemistry, RNA in situ hybridization and statistical analyses. Qualifications The ideal candidate should have a PhD in molecular or developmental biology, neurosciences, photoreceptor
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, good will and reliability are required. Due to Swedish regulation for employment of postdocs, there are two application alternatives: If you have a PhD degree for less than 3 years, excluding deductible
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. There will be considerable freedom in developing your own research projects based on the data we generate in the project. Qualification Requirements. We are looking for a candidate with a PhD and postdoctoral
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transcriptomics and genomics datasets. The goal is to identify molecular and spatial signatures of disease progression both in human samples and in experimental models of diabetes. Qualifications: PhD in
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addition, you should meet the following requirements: Hold a PhD degree in biology, ecology, analytical chemistry or equivalent Educational and professional qualifications relating to the scientific area of
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model design and analysis as well as statistical model parametrization and validation techniques. This Postdoc position is part of a five-year research program funded by the Wallenberg Foundation, aimed
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following basic requirements: - Hold a PhD degree in plant biology with a focus on plant breeding, quantitative genetics, population genetics, bioinformatics or similar - Ability to carry out and complete
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group within a few years of their PhD. We offer generous funding for up to 9 years, conditional upon favorable review after four years. Data-driven epidemiology and biology of infection covers research