47 assistant-professor-computer-science-data "https:" "https:" "https:" "https:" "Dr" positions at SciLifeLab in Sweden
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School of Engineering Sciences in Chemistry, Biotechnology and Health at KTH Job description The Affinity Proteomics unit (https://www.scilifelab.se/facilities/affinity-proteomics/ ) is part of
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on the applicant’s research profile. The assistant professor will contribute to the development of the Planetary Biology program at SciLifeLab at Campus Solna, with support from the department where he/she will be
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developing and implementing data management for human data to meet future needs within data-driven Life Science research. More information about NBIS can be found at https://nbis.se . Duties We are looking
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Lund University, Department of experimental medical science Lund University was founded in 1666 and is repeatedly ranked among the world’s top universities. The University has around 46 000 students
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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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program Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes
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at https://nbis.se. Duties We are seeking a candidate who wants to help enable life science research in Sweden that goes beyond what is achievable by individual researchers, a single university, or a single
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, proteomics, bioinformatics, or a related field Strong experience and a passion for mass spectrometry-based proteomics, computational biology, and large-scale data integration Interest in plant immunity
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services can be found at: https://www.uu.se/forskning/snpseq and https://ngisweden.scilifelab.se/ We are proud to deliver high-quality data and are accredited by SWEDAC as a testing laboratory under the ISO
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, image reconstruction, and data-driven modeling of biological systems. The Division carries out research and postgraduate education within computational imaging, applied mathematics, and structural biology