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life science technologies with data and AI expertise. Computational methods and artificial intelligence applied to large-scale molecular data are transforming the study of biological systems at all
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equivalent, in bioinformatics, data science, computer science, computational biology, statistics, public health, biomedical engineering, applied mathematics, physics, or another quantitative field of relevance
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methods. More about the department’s activities can be found at www.medsci.uu.se . The SNP&SEQ Technology Platform at IMV is part of the SciLifeLab National Genomics Infrastructure (NGI) in Uppsala. We
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Do you want to contribute to top quality medical research? We are seeking a highly motivated and technically skilled research engineer to join the newly established laboratory of Prof. Jan Ellenberg
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required for daily work. Preferred qualifications • Relevant university education in computer science or IT, or other technical education such as an engineering degree. • Education in Python, UI/UX, testing
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at KTH in the Biotechnology doctoral program (according to KTH’s regulations). Signing a researcher agreement is a necessary condition to accept this PhD position. More information about Formulation of
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. The Division of Data Science and AI (DSAI) at the Department of Computer Science and Engineering — part of the Faculty of Science and Technology — is a joint department between Chalmers University of Technology
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KTH Royal Institute of Technology, School of Engineering Sciences in Chemistry, Biotechnology and Health Job description Our laboratory has been awarded grants to study host-microbiome interactions
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for the PLP Strategic Area. Key responsibilities may include: Contributing to the overall scientific direction and strategic development of the PLP program, including developing a long-term vision from
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of Science and Technology and conducts research in biochemistry, organic chemistry, analytical chemistry, and physical chemistry. The research is focused on catalysis, molecular recognition, structure and