883 machine-learning "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" positions in Sweden
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Field
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-performance computing. SLU provides access to extensive datasets that can be used to develop machine learning methods and automated analyses relevant to the position. Long-term datasets are available from, i.a
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perform 3D single-particle tracking and establish pipelines to characterise the particle motion using a combination of established tracking algorithms and machine-learning-based approaches. Additionally
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about working with us Work at Lund University | Lund University Ready to shape the future of research? Find more reasons why Lund University and the HT Faculties is right for you here, and learn more
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with a strong background in machine learning and LLMs, computer science, and modeling. The candidate will join the project “AI-driven predictive maintenance for buildings: Einar Mattsson (EM) - KTH
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your application: A doctoral degree in automatic control, electrical engineering, computational materials science or related. Research experience in battery tests, machine learning, data-driven
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Do you have a hobby or special skill you would like to share and teach to others? We are now looking for SLU students who want to lead workshops in a wide range of subjects. About the assignment
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Do you have a hobby or special skill you would like to share and teach to others? We are now looking for SLU students who want to lead workshops in a wide range of subjects. About the assignment
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on development of novel computational methods with state-of-the-art machine learning for gaining fundamental insights into healthy and diseased human tissues of the heart, cardiovascular system, and
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initiated by a six months trial period. Want to make a difference? Join us and contribute to better health for all Where to apply Website https://ki.varbi.com/en/what:job/jobID:911408/type:job/where:39/apply
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knowledge and technical interest. Experience and knowledge below are seen as merits: Experience with electronic hardware and understanding safety-compliance rules Knowledge in additive manufacturing Knowledge