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. Project description The project involves using and developing bioinformatic tools for analysis of microbial genome sequences. A particular focus is on further development of our FlaGs tool, the web server
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training program that will prepare them for careers in this rapidly evolving field. This advertisement focuses on the position hosted by the Department of Decision and Control Systems, KTH Royal Institute
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to sustainable development in the Arctic. The Centre collaborates internally with the University’s four faculties and the Teacher Education Programme, as well as with external partners, particularly within
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for Computational Statistics funded by the European Research Council (ERC). The successful applicant will develop foundations for the numerical analysis of functional calculus, i.e., the approximation of functions
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to operate equipment; documented skills in modelling and simulation of mechanical properties; ability to plan research work, develop and perform research plan, critically assess and discuss research results
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Project description Third-cycle subject: Solid Mechanics We are seeking a
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Project description Third-cycle subject: Solid Mechanics We are seeking a
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2026 - 22:59 (UTC) Country Sweden Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff
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Deadline 9 Feb 2026 - 22:59 (UTC) Country Sweden Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to
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degree in machine learning. The successful candidate will be supervised by professor Aristides Gionis (https://www.kth.se/profile/argioni/ ). The research team focuses on developing novel methods