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We invite applications for a PhD position that explores the impact of Artificial Intelligence (AI) on Higher Education, in particular within STEM (Science, technology, engineering and mathematics
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explainable AI models for personalized treatment planning in sports medicine and orthopaedics. You will work in a highly interdisciplinary environment, collaborating with leading experts in AI, mathematics
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publications in journals, and through poster or oral presentations at national and international conferences and workshops. Collaborate with partners in synthetic chemistry and theory to discuss ideas and
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to contribute your own research ideas and take part in supervising PhD students. About the research project The position, starting in the first half of 2026, will be based in the theory division of the Department
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problems Interdisciplinary mindset bridging theory and experiment *for students with an education earned outside of Sweden, a 4-year Bachelor’s degree is accepted. The following experience will strengthen
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, Civil Engineering, Engineering Mathematics, or similar field Documented knowledge in continuum mechanics and FEM (including programming thereof) is required You will need strong written and verbal
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local structure and composition to catalytic behavior. By bridging atomistic theory and machine learning, the work will help explain activity trends and guide the rational design of alloy catalysts
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, you should have: A Master of Science degree in Mechanical Engineering, Mathematics, Physics, or in relevant fields of fluid/structure dynamics and acoustics. Very good knowledge of English, both spoken
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– entrepreneurship as design, scientific entrepreneurship, theory-based view, iterative venture development, experimentation, iterative prototyping, effectuation, co-creation, balancing exploration and exploitation
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15 full-time researchers offers a stimulating and supportive environment to learn and grow. Your profile Required qualifications: Undergraduate degree in Engineering, Physics or Mathematics with strong