39 machine-learning "https:" "https:" "https:" "https:" "UCL" "UCL" positions at University of Warsaw
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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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at the University of Warsaw The procedure for whistleblowers reporting cases of law violation at the University of Warsaw . University of Warsaw gender equality plan . Website for additional job details https
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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
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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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seminars, MA seminars and/or specialist classes. The selected candidate is expected to teach courses on topics in the field of quantitative finance, machine learning and data science. Courses should be
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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 Faculty. More information: Scope of responsibilities of the academic teacher: https://rekrutacja-i-rozwoj.bsp.uw.edu.pl/przydatne-dokumenty/ . Where to apply E-mail konkursy.polon@uw.edu.pl Requirements
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/InstituteUniversity of WarsawCountryPolandCityWarsawPostal Code00-927StreetKrakowskie Przedmieście 3Geofield Contact City Warsaw Website http://wnpism.uw.edu.pl/en/ Street Krakowskie Przedmieście 3 Postal Code 00-927 E