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Sweden’s largest museum. For more than 200 years, the museum has been collecting specimens and data and conducting research on life on earth. The collections contain more than 11 million plants, animals
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use the data to train deep learning models of cancer. This allows us to identify systems-level mechanisms that can be used to uncover new biomarkers, drug targets, and paths to drug resistance. We
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you to contribute or even lead in analyzing, summarizing, and conceptualizing data/results and cooperatively write manuscripts. Formal Requirements PhD degree in Biology, Chemistry or Physics
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chemical-analytical data processing. The project focuses specifically on method development in metabolomics and mass spectrometry-based data analysis, ranging from preprocessing of raw instrument data
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chemical-analytical data processing. The project focuses specifically on method development in metabolomics and mass spectrometry-based data analysis, ranging from preprocessing of raw instrument data
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develop phage therapeutics which are well understood and ready to be tested in pre-clinical models. Your profile To be eligible for employment as a postdoctor, a PhD or a foreign degree deemed to be
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An opportunity to carry out research at the forefront of human genomics, with cutting-edge methods, large data sets and good resources A creative role combining a high degree of autonomy with mentorship from Dr
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and is part of the National Program for Data-driven Life Science (DDLS ), generously funded by the Knut and Alice Wallenberg Foundation. Our research is focused on the use machine learning + AI tools as
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cutting-edge, high-density data-driven research that impacts academia, industry, and policy worldwide. About the Programme Fellowship: each participant will benefit from a 36-month postdoctoral training