111 learning-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"UNSW-Science" PhD positions in Sweden
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PhD in Materials Science Norrkoping Reference number LiU-2026-03852 Join us in developing machine-learning accelerated simulation methods to understand and optimize interfaces in hybrid organic
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PhD Student position in Biology, specialisation in Environmental Science Uppsala Reference number SLU.ua.2026.2.5.1-2316 Department of Aquatic Resources (SLU Aqua) Third-cycle subject area Biology
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Umeå Proteomics Platform. https://www.umu.se/en/research/infrastructure/umea-proteomics-platform/ The project is led by Sandra Jämtgård, Department of Forest Ecology and Management, SLU in
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PhD student focusing on Machine Learning of Geometric Representations at ISY Linkoping Reference number LiU-2026-03853 We have the power of over 50,000 students and co-workers. Students who provide
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Candidate position within the Marie Skłodowska-Curie Actions Doctoral Network ReDiLEEP (Using science-driven Re sponse Di versity knowledge to L everage E fficient E cosystem P reservationand
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: Animal Science Project description Forage-based feeds are central to Swedish dairy production, and their protein content and degradability can influence nitrogen utilization, feed intake, and milk
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representing academic and research institutes, and the enterprise and public sectors collaborate in the center. The center’s goal is to develop science-based, innovative solutions for, and build future
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across countries and disciplines Qualifications A second-cycle (MSc) degree in agronomy, crop science, plant biology, ecology, plant breeding, agricultural systems science or a related field
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language requirements as those necessary for the Swedish upper-secondary qualification Engelska B/6. Your profile Requirements Degree at second-cycle level (Master of Science) in Energy Systems
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professional network between PhD-students, researchers and industry. Read more: https://wasp-sweden.org/graduate-school/ Your work assignments Machine learning, and in particular deep learning, requires