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- University of Ljubljana / Univerza v Ljubljani
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- University of Ljubljana, Faculty of Mathematics and Physics
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increments; excursion theory of Markov processes; Tsirelson's theory of stochastic noises; deep/machine learning; Stein's method and the central limit theorem; copulas; actuarial mathematics). Where to apply E
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industry. We are connected with leading international institutions: UCL, UMC Utrecht, Charité Berlin, TU Dresden. We also collaborate with domestic clinical partners, enabling the direct application
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Specific Requirements Legally prescribed conditions Appointment to the appropriate academic title Active knowledge of English or German Computer skills: MS Windows, Word, Excel, Internet, e-mail, e-business
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, active knowledge of a major world language. Required additional functional skills: computer skills, organizational skills, ability to work in a team, independence, reliability. Other desirable skills
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, applications of machine learning to particle phenomenology, and lattice QCD, both within the Standard Model and beyond. The particle physics phenomenology group members are: J. F. Kamenik (head), B. Bajc, S
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https://www.uni-lj.si/en/university/public-announcements/ff-university-teacher-… Work Location(s) Number of offers available1Company/InstituteUniversity of Ljubljana, Faculty
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Code6000StreetGlagoljaška ulica 8Geofield Contact State/Province Slovenia City Koper Website http://www.upr.si Street Glagoljaška ulica 8 Postal Code SI-6000 E-Mail razpisi.famnitiam@upr.si STATUS: EXPIRED X (formerly
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. The selected candidate will work on the following projects: ERC CoG #101044468 ARCHI-SKIN (https://archiskinproject.eu/ ), #101185862 EIC REMEDY (https://eic-remedy.eu/ ), and #101215956 HE NEB MISS BIOARC
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Metal additive manufacturing process monitoring and control – Researcher, PhD position (ERC project)
of process condition variations. The important parts of the control system to be developed within this project are i) coaxial measuring of meltpool depth variations, and ii) machine learning-based models
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(professional exam, skills and language): rhetorical skills, innovation, sense of organization of one's own work and the work of colleagues, active knowledge of one world language, use of computer tools; active