391 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "The Institute for Data" uni jobs in Sweden
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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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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 network survey of various sections
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beneficial for your application: Experience working with Real-Time Rendering Experience working with Deep Learning Familiarity with Computer Graphics research We offer Lund University is a public authority
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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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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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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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at SLU by visiting: https://www.slu.se/en/about-slu/work-at-slu/ Location: Uppsala Form of employment: Indefinite-term employment. SLU may use probationary employment. Scope: 100% Start date: As agreed
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-529974, Personnel Officer Marianne Palmér (marianne.palmer@lnu.se ), +46-(0)480-447303 Would you like to know more about the department of biology and environmental science? Learn more at Lnu.se. Welcome
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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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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