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. The position is based in the Computational Genomics Research (CGR) Lab, within the Data Science and AI division. About us The Department of Computer Science and Engineering , a joint department of Chalmers and
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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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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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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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, 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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the Human Evolution research program. The Ancient DNA unit is a team that includes staff from the Centre for Palaeogenetics (CPG), part of Stockholm University and the Swedish Museum of Natural History
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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