36 machine-learning "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" "UCL" "UCL" positions in Slovenia
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- University of Ljubljana / Univerza v Ljubljani
- University of Ljubljana, Faculty of Mathematics and Physics
- University of Primorska
- Jozef Stefan Institute
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- Agriculture institute of Slovenia
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facades will reduce the buildings’ environmental impact. https://www.zag.si/en/hiring/call-for-young-researchers-stem/ Funding category: Financement public/privé 4 years position fully financed by ZAG PHD
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diverse and inclusive environment and welcomes applicants regardless of age, disability, gender, nationality, race, religion or sexual orientation. Website for additional job details https://www.stecci
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Website for additional job details https://www.uni-lj.si/en/university/public-announcements/ff-18 Work Location(s) Number of offers available1Company/InstituteUniversity of Ljubljana, Faculty
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. dr. Marko Kreft Phone number: 0038613203316 Email: marko.kreft@bf.uni-lj.si Website for additional job details https://www.uni-lj.si/en/university/public-announcements/bf-14 Work Location(s) Number
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@ff.uni-lj.si Website for additional job details https://www.uni-lj.si/en/university/public-announcements/ff-19 Work Location(s) Number of offers available1Company/InstituteUniversity of Ljubljana, Faculty
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promotes gender equality in employment and work. Contact person: Lea Veber ks@teof.uni-lj.si . Website for additional job details https://www.uni-lj.si/en/university/public-announcements/teof-university
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conditions Appointment to the appropriate academic title Active knowledge of English or German Computer skills: MS Windows, Word, Excel, Internet, e-mail, e-business LanguagesENGLISHLevelExcellent Additional
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cesta 39Geofield Contact City Ljubljana Website https://ijs.si/ijsw/IJS Street Jamova cesta 39 Postal Code 1000 STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options E-mail
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YOUNG RESEARCHER IN THE FIELD OF EARLY DETECTION OF THE HEALTH STATUS OF PLANTS USING REMOTE SENSING
and features for the pre-symptomatic detection of changes in the physiological status of plants, developing, training, validating, and comparing predictive machine learning and deep learning models
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for personal and career development; Free parking, use of company bicycles, and use of an electric car charging station. Eligibility criteria Completed Master degree or equivalent education at University level