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in mouse models and cell cultures. Analyze and interpret omics data using bioinformatic pipelines in Python and R. Perform experiments in cell culture and animal models to validate the findings
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, and agent-based modelling have paved the way for innovative collaborations between social scientists and computer scientists that jointly seek to answer fundamental questions of the social sciences and
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. Demonstrated skills in Python programming, or other computer programming. Strong interest in data science, such as data collection and curation, modelling. Excellent written and oral English communication skills
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Hospital, and with experts in mathematical modelling at the translational research hub IceLab , Umeå University. Work responsibilities As a postdoc in our team, you will be an integral part of a dynamic and
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spinal cord as a model system. You will engage a systematic strategy to identify these mechanisms by generating innovative mouse genetic strains, identifying embryonic defects and the underlying molecular
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application! Work assignments Subject area: Computational studies of the influence of microstructural features on the structural integrity of metallic materials using machine learning Subject area description
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on collaboration and trust, where development towards an independent researcher is largely encouraged and supported. The research is connected to the LTH profile area Engineering Health. More information about the
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relevant subject. Experience working with statistical data analyses and mixed models. Merit: Knowledge of forage crop management. Knowledge of statistical analyses of experiments, mixed models, and
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the coastal city of Gothenburg . Read more about Sweden’s generous parental leave, subsidized day care, free schools, healthcare etc at Move To Gothenburg. Chalmers aims to actively improve our gender balance
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consequences of mitochondrial dysfunction in patients with inherited disorders and in animal models of mitochondrial pathology. The goal is to uncover novel insights into the role of mitochondria in human