38 computer-science-intern-"https:"-"https:"-"https:"-"https:"-"Simons-Foundation" positions at SciLifeLab 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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at Campus Solna, about 20 min from campus Frescati. The position is part of the SciLifeLab fellows career program. All four departments involved in this announcement belong to the Faculty of Science and
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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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School of Electrical Engineering and Computer Science at KTH Third-cycle subject: Electrical Engineering We are seeking an enthusiastic student to join the dynamic and welcoming team of the Winkler
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taken a prominent role in international collaborations such as CETAF, DiSSCo, GBIF, FishBase, and CBOL. Data-driven life science (DDLS) uses data, computational methods and artificial intelligence
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documented international research experience, a demonstrated potential for creativity and a high degree of excellence in the field, for example in computational biology, mathematical modelling and simulations
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visualizations tailored to high-dimensional multi-modal spatial data. Qualification requirements Required Qualifications A PhD (or MSc with significant experience) in Bioinformatics, Computational Biology, Systems
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background: Degree in Bioinformatics, Computational Biology, Computer Science, or related field with demonstrated omics data experience Pipeline development: Proven experience building and maintaining omics
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technical expertise with advanced knowledge of translational medicine and molecular bioscience. SciLifeLab is a national resource hosted by Karolinska Institutet, KTH Royal Institute of Technology, Stockholm
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Do you want to contribute to top quality medical research? Computational methods and AI applied to large-scale molecular data are transforming biology – from molecular structures and cellular