144 computer-programmer-"https:"-"UCL"-"https:"-"https:"-"https:"-"BioData"-"BioData"-"BioData" positions in Sweden
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biomedicine, biomolecular technology, and biodiversity converge working synchronously under one roof. With one of the highest concentrations of bioinformaticians and computational biologists in Europe, Campus
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to tariff agreement, extra annual payment, and company pension plan (VBL) 30 days of vacation per year, plus two additional days off on Christmas Eve and New Year's Eve Career development in a
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the biological sciences. The department offers several Bachelor’s and Master’s programmes in “Biology” and “Molecular Biology,” attracting both Swedish and international students. Further information about the
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and PhD-education are markedly international and, alongside the professional law degree, the Faculty offers several international Master’s programmes. Lund University and the Faculty of Law offer
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several industrial and academic partners. The candidate will work with high-performance computing resources (NAISS) and advanced CFD tools, primarily OpenFOAM, with the possibility to use Nek5000 or LBM
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to work independently, take initiative, and plan and conduct research with attention to detail, scientific rigor, and a structured, systematic approach. High motivation and strong interest in developing
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requirements Applicants should possess a Master’s degree in chemistry, computational chemistry, or biophysics. Required qualifications include practical experience with molecular dynamics simulations and
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senior researchers and doctoral students. Current research areas within the Department of Mathematical Statistics include stochastic models, statistical theory and computational statistics, probability
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. bioinformatics, computer science, computational biology or similar 5+ years of experience in bioinformatics, with some experience of epigenomic data At least one years’ experience of working in a core facility or
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Do you want to contribute to improving human health? Computational methods and artificial intelligence on large-scale molecular data are transforming the study of biological systems at all levels