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checks. Both parts are meant to support data-driven computational modeling for applications in epidemics. For a further description of the proposed project, see this document. The Department
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information about us, please visit: www.dbb.su.se . Project description The candidate will develop machine learning (ML) strategies, primarily revolving around interpretable ML and generative AI, to study
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). The project focuses on developing computational models for cancer risk assessment, integrating multiple types of data and risk factors. The main objective is to design and apply machine learning and deep
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values as a university and public authority. Learn more about our benefits and what it’s like to work and grow at KTH. Trade union representatives Contact information to trade union representatives
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cutting-edge, high-density data-driven research that impacts academia, industry, and policy worldwide. About the Programme Fellowship: each participant will benefit from a 36-month postdoctoral training
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of further development. The postdoctoral position includes a combination of experimental work, data analysis, as well as interpretation and presentation of research results. The main part of the work for the
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information about us, please visit: www.dbb.su.se. Main responsibilities The appointed research assistant will be responsible for setting up, running, and analyzing molecular dynamics simulations focused
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information about us, please visit: www.dbb.su.se . Project description The project is focused on determining the structure and function of sugar transporters. Main responsibilities We are looking for a
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information about us, please visit: www.dbb.su.se Project description Postdoctoral positions are available in the research lab of Emil Marklund, based at SciLifeLab campus Solna in Stockholm. In the Marklund