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microbial specialisation. Very good oral and written proficiency in English. Experience in writing and publishing scientific articles. Experience in independently planning and conducting experiments relevant
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from selection experiments and help us understand which DNA nanostructures benefit from selection. We currently have several datasets of repeat sequencing of DNA nanostructure ‘genomes’ from selection
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Food Hygiene, Food Microbiology, or Agriculture with a microbial specialisation. Very good oral and written proficiency in English. Experience in writing and publishing scientific articles. Experience in
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experience with statistical methods for analyzing OMICs data, for example epigenetic data. Documented experience with analyzing spatial environmental exposures, e.g. air pollution Additional useful
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creative, collaborative, and equitable work environment. Our strength lies in utilising and combining experimental, digital, and qualitative approaches to develop solutions and processes. The division
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. Documented knowledge and experience in computational metabolomics, computational biostatistics, statistical and machine learning, involving analysis of biological multi-modal and multivariate data, or related
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interdisciplinary research. We are now looking for 1–2 dedicated postdoctoral researchers with experience in epidemiology or biostatistics to join a new and exciting project aimed at improving the identification
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. Importance is also attached to a demonstrated ability and ambition to embark on a career within academia. Documented knowledge and experience in computational metabolomics, computational biostatistics
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allocated at the Division of Solid-State Electronics, the Department of Electrical Engineering. Here you will find a friendly work environment with dedicated colleagues and a variety of experimental projects
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sciences, with good knowledge of Swedish forestry and policy. The candidate should have previous experience of using qualitative research methods, with knowledge of approaches for analyzing people’s needs