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and also be able to work independently. Specific tasks include: Statistical analysis of complex datasets Development and application of predictive models Contribution to study design, and choice
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-renal diseases. Our research spans large-scale register and laboratory data, causal and predictive modeling, and computational image analysis of kidney biopsies. About the Research Group: Led by Professor
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The Malmberg lab is seeking a postdoctoral researcher for a 24-month fixed-term position focused on materials analysis. Candidates should have experience in analytical chemistry and mass
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and development of plants; the regulation of gene expression; population genetics, genome analysis and the development of breeding systems. Species in use are model organisms such as Arabidopsis
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HCI and cybersecurity, to cancer research tools and methods for numerical analysis and machine learning. The research work takes place in a multidisciplinary team with a focus on image processing with
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experts to integrate biological experiments with data analysis, modeling, and intelligent control systems. Qualifications Requirements A doctoral degree or an equivalent foreign degree. This eligibility
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biochemistry, or other relevant fields. Excellent written and verbal communication skills in English is needed. Merits Experience in molecular cloning, nucleic acid analysis, good understanding of DNA
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of educational history, digital humanities and sociological analysis. You are expected to be actively present in the research environment, develop research networks and contribute to a vibrant intellectual climate
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build the sustainable companies and societies of the future. In line with the green transition and the striving for a sustainable supply of critical raw materials, our research in mineral processing
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original research papers in leading peer-reviewed journals. Supervise and mentor MSc and PhD students, co-supervising theses and guiding laboratory work and data analysis. Requirements: Strong knowledge and