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the research school and learn alongside each other in carefully designed courses that align with the excellence centre’s multidisciplinary theme. The program prepares next-generation computational biologists
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Umeå University is one of Sweden’s largest higher education institutions with over 37,000 students and about 4,700 employees. The University offers a diversity of high-quality education and world-leading research in several fields. Notably, the groundbreaking discovery of the CRISPR-Cas9...
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collaborative skills, drive and independence, and how the applicant, through experience and skills, is deemed to have the abilities necessary for successfully completing the third cycle programme. We offer Lund
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Computational Biology at Aramburu Lab for a temporary position for six months on full time. The position is expected to start on 1 October 2025 or by agreement. Project description We aim to discover and study
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the Wallenberg AI, Autonomous Systems and Software Program (WASP). Application deadline is 10 August 2025. Wallenberg AI, Autonomous Systems and Software Program (WASP) is Sweden’s largest individual research
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processing, computer vision, machine learning, AI, cognitive science, or robotics, is a merit. Information For more information on the programme and the role, please contact Prof. Amy Loutfi, e-mail
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Mälardalen University (MDU) is the youngest university in Sweden. In line with our vision, to be a progressive and collaborative University where we shape a sustainable future together, we wish to make a difference. Do you want to be involved and contribute to our development? Together, we can...
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multidisciplinary theme. The program prepares next-generation computational biologists with strong complexity thinking and tools applicable to living systems across organizational scales, addressing major
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Systems and Software Program – and will be part of its national PhD school. The position also comes with travel funding and the opportunity to spend six months abroad. Work duties The main duties
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year project, funded by the DDLS program, we aim to develop AI-based tools in design of affinity ligands, such as the prediction of binding interactions between proteins. Data-driven life science (DDLS