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Sapere Aude – dare to know – is our motto. Our students and employees develop important knowledge that enrich both the individual and the community. Our academic environment is characterised by
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. The student will work in a group addressing all these challenges, developing new AI-based methods to improve biological realism in simulations which will lead to more accurately inferred GRNs from real data
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solutions. Against this background, the applicant is expected to have some knowledge of digitalization and current developments towards AI solutions for businesses. It is important that the candidate is
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developed in our group to accurately capture the coupling between magnetism, lattice vibrations and disorder to search for novel magnetic materials. Your studies will include theoretical analysis
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motivated colleague who will develop new environmentally benign processes for the synthesis of conjugated polymers. About the research project The Müller Research Group specializes in the materials science of
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is carried out in close collaboration with industry and academic partners. Main responsibilities Develop a research plan and design test configurations in collaboration with senior researchers. Perform
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empirical research, Software Development in programming languages and tools, Artificial Intelligence, Robotics, Natural Language Processing, Embedded Systems and Theoretical Computer Science. Subject
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deadline: August 18, 2025 Requirements To qualify for admission to the PhD programme, you must have: A Master’s degree (or equivalent), Completed at least 240 ECTS credits, including at least 60 ECTS credits
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evolution and direct manipulation of resource allocation patterns, this project aims to explore somatic and germline mutation rates from a life-history perspective, to determine whether they are integrated
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Welcome to Linnaeus University! Here you'll meet 2 200 staff members and 40 000 students, all united in following the vision to set knowledge in motion for a sustainable societal development. With