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these questions, we will determine RNA structures in vivo using cutting-edge transcriptome-wide RNA structure probing techniques that together with computational models and machine learning algorithms will generate
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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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, computational materials science, computer science, or a related field, awarded no more than three years prior to the application deadline*. Background in physics-based battery modelling and/or machine learning is
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human pressures (www.slu.se/fishinfoodwebs). Your profile We are looking for a motivated post-doctoral researcher with strong modelling and analytical skills in community dynamics. Scientific merits
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Starting Grant from the European Research Council and a DDLS Fellowship from the SciLifeLab and Wallenberg Swedish program for data-driven life science. The successful candidate will be working within
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from the European Research Council and a DDLS Fellowship from the SciLifeLab and Wallenberg Swedish program for data-driven life science. The successful candidate will be working within the development
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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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this challenge, we established an NSG mouse model that included human ovarian carcinoma xenografts and a chemotherapy treatment regimen mimicking the human situation. In your project, you will perform a CRISPR
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position is part of a five-year research program funded by the Wallenberg Foundation, which aims to develop and apply computational tools to understand the evolution of biodiversity (see https
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, particularly in the context of human disease. Success in this role requires the ability to work both independently and as part of a multidisciplinary team, along with excellent proficiency in English, both