843 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Mines Paris PSL" positions in Sweden
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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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6 Mar 2026 Job Information Organisation/Company Örebro University Research Field Computer science » Computer architecture Computer science » Other Researcher Profile First Stage Researcher (R1
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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
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protection and security, work environment safety and environmental safety at the MAX IV Laboratory. The team is now looking to employ an expert within machine safety. As the sole machine safety engineer, you
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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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includes implementing and testing machine learning algorithms on quantum control tasks such as state preparation and qubit reset. You will gain hands-on experience with machine learning techniques and their
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languages, with a clear connection to subject-specific education. For the corresponding advertisement with admission at the University of Gothenburg, please go to: https://web103.reachmee.com/ext/I005/1035
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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
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application: Experience in system identification and machine learning is a merit. What you will do Perform research, developing your own scientific concepts and communicating the results of your research
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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