4 machine-learning-"https:" "https:" "https:" "https:" "https:" positions in Slovenia
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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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, 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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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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additive manufacturing or other laser-metal machining processes. Where to apply E-mail dominik.kozjek@fs.uni-lj.si Requirements Research FieldEngineering » Mechanical engineeringEducation LevelPhD