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The Department of Gene Technology, at KTH Royal Institute of Technology, is looking to fill a position as Assistant Professor focused on innovative development and application of computational
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and evaluation of novel treatment strategies and application of computational approaches to analyse omics data. Our experimental and translational studies are carried out in close collaboration with
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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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, international, and outward-looking work environment located in the lively city of Gothenburg on the west-coast of Sweden. The position is funded by the fellowship scheme of the Wallenberg National Program for
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-performance computing. SLU provides access to extensive datasets that can be used to develop machine learning methods and automated analyses relevant to the position. Long-term datasets are available from, i.a
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School of Electrical Engineering and Computer Science at KTH Project description Third-cycle subject: Computer science This project involves generative modeling to address missingness in mass
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data on our dedicated high-security compute cluster Miarka at UPPMAX, as well as on local servers. Automation of data handling and integrating systems for laboratory tracking (samples, steps, reagents
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to development activities in international projects regarding the management of genomics data and medical informatics where NBIS is active, in order to realize the visions of the 1+MG initiative (e.g., European
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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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Education: A graduate degree or an advanced level (higher education) in Bioinformatics, Computational Biology, Biostatistics, or a related life sciences field with extensive relevant experience (4+ years