33 machine-learning "https:" "https:" "https:" "https:" "UCL" "UCL" positions at University of Warsaw
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of the competition announcement). Candidate’s Questionnaire for the position of academic teacher: https://polon.uw.edu.pl/wp-content/uploads/sites/221/2025/04/Kwestionariusz-osoby-kandydujacej-na-stanowisko-nauczyciel
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. The successful candidate will teach classes at the Faculty of Physics of the University of Warsaw in accordance with the position of university professor, amounting to 210 hours per year. We expect commitment
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bear in the Balkans Project leader: dr Danijela Popović For more information please visit our website: https://www.uw.edu.pl/wp-content/uploads/2026/03/cent-14-2026-doktorant-opus-popovic_DOP.pdf Where
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). Candidate’s Questionnaire for the position of academic teacher: https://polon.uw.edu.pl/wp-content/uploads/sites/221/2025/04/Kwestionariusz-osoby-kandydujacej-na-stanowisko-nauczyciel-akademickiego-EN.docx Copy
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of Vienna). About the position: Lead the research group focusing on hybrid quantum algorithms, quantum neuromorphic computing, and quantum machine learning Build your own team (PhD students, postdocs) 4-year
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. Project leader: dr hab. Piotr Garbacz, prof. ucz. More information about the project - https://cordis.europa.eu/project/id/101040164 People of all genders are invited to participate. Please include
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of service. More information: https://rekrutacja-i-rozwoj.bsp.uw.edu.pl/przydatne-dokumenty/ Eligibility criteria Criteria for the assessment of candidates in a competition: 1) substantive quantitative and
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of service. More information: https://rekrutacja-i-rozwoj.bsp.uw.edu.pl/przydatne-dokumenty/ Eligibility criteria Criteria for the assessment of candidates in a competition: 1) substantive quantitative and
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6247,00 gross/month plus the additional annual remuneration, allowance for years of service. More information: https://rekrutacja-i-rozwoj.bsp.uw.edu.pl/przydatne-dokumenty/ Eligibility criteria Criteria
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. The selected candidate is expected to teach courses on topics in the field of quantitative finance, machine learning and data science. Courses should be offered in Polish and/or English Academic organizational