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mathematical modelling Machine learning and/or other quantitative modelling in AI Statistical modelling Numerical analysis and scientific computing. The posts are full-time and are fixed term for a period of up
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Engineering and Management, and Physics. We offer PhD programmes in materials engineering, industrial engineering and management, and physics, and master’s programmes in mechanical engineering, industrial
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, DeepFields (using drones, airborne optical sectioning (AOS) -a unique synthetic aperture sensing technique developed by JKU-, and machine learning for harvest and damage estimation in agriculture), in
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learning experiences that promote student success and who bring a strong expertise in sport and exercise psychology, sport behavior, and/or motor behavior and motor learning. Responsibilities: · Deliver
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mechanistic complexity of AMP action on microbial cells. These provide an unusually clean foundation for a genuinely hard machine learning problem: multi-label classification across mechanistically
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collaborators The Machine Learning for Integrative Genomics team (https://research.pasteur.fr/en/team/machine-learning-for-integrative - genomics/) at Institut Pasteur, led by Laura Cantini, works at
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machine learning. The project aims to develop AI methods for mesoscale structural biology, understanding how cellular macromolecules organize into higher-order structures. You will work in a team at Janelia
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of machine learning to the practical tools of deep learning, now available through modern foundation models. For the theory part, the selected candidate will work in close collaboration with
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-2025” concerning security-threatening activities against Sweden. Graduates in the spring of 2026 may also apply Where to apply Website https://www.bth.se/english/vacancies/job/phd-student-position-in
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of cryo-electron tomography (cryoET), molecular dynamics simulation, and machine learning. The project aims to develop AI methods for mesoscale structural biology, understanding how cellular macromolecules