392 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "FORTH" uni jobs in Sweden
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upgrades / replacements of key RF components Qualifications Basic understanding of physics, electronics and electrical equipment Computer skills in excel and/or Matlab Fluent in written and spoken English
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complex behavior under demanding operating conditions presents a significant modeling challenge. This project addresses that challenge by combining machine learning with constitutive modeling, while
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equations, Bayesian inference, large-scale computational methods, bioinformatics, data science, machine learning, optimisation, numerical methods. Please read more about the position and our department on our
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, especially. multimodal data analysis. Experience on image processing (especially on MRI data) via machine learning. Programming skills (e.g., Python) are required. Ability to communicate effectively in both
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the start. The position is a fixed-term appointment of four years, with the possibility to teach up to 20%, which extends the position up to five years. A starting salary of 34,550 SEK per month (valid from
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of the Federal Armed Forces Hamburg (HSU/UniBw H), Faculty of Electrical Engineering, Professorship of Electrical Energy Systems (Prof. Dr.-Ing. habil. Schulz), a position is available as soon as possible for a
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slowdown at the glass transition, remains a major computational challenge. This Doctoral student project addresses this by combining generative AI models and machine-learned interatomic potentials
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scanner as well as basic knowledge about MAX IV machine and beamlines. Full time: 100% starting from 15 June and ends 31 July (both included). Your main work tasks will be Participate in spatial metrology
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, or quantum-inspired methods Experience with hybrid quantum–classical algorithms or optimization methods Background in uncertainty quantification, reduced-order modeling, or machine learning Experience
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found here https://www.maxiv.lu.se/beamlines- accelerators/support-labs/microscopy-labs/ . This is a temporary position from March until October 2026. Qualifications for a successful candidate are: Hold