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://isor.univie.ac.at/ ) of the University of Vienna is offering a PhD position in the area of Mathematical Statistics and Machine Learning, starting on 01 March 2027. The group's research is focused on the current
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, machine learning or computational modelling. Familiarity with Linux, high-performance computing, version control and reproducible research practices. Previous research on language, reading, auditory
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semester hours per week (2 SWS). Participation is expected in the EMOS program, the Munich School for Data Science (MUDS), and the Munich Center for Machine Learning (MCML). Cooperation with the institute’s
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technologies, and cloud platforms. Support researchers’ use of AI and machine learning tools, including AI coding assistants and agents (e.g., Claude Code), model APIs (e.g., Anthropic, OpenAI), and open-weight
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data science approaches includes the application of Bayesian inference or probabilistic machine learning to geophysical models. UiO is subject to the Security Act, which governs the organisation's
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Design invites applications for a PhD stipend in the field of secure machine learning within the general study programme Electronic and Electrical Engineering; as per November 1, 2026, or as soon as
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models, human-robot collaboration for field operations, causal machine learning for interpretable agronomic and ecological modeling, digital twins for real-time crop system simulation and scenario planning
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players. Be a role model of good behavior and good sportsmanship and must conduct themselves in a positive manner when dealing with opposing teams, coaches, and game officials. Requirements: Minimum
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Proficiency in Cadence Proficiency in Python and Matlab Experience in implementing algorithms for machine learning Good written and oral communication skills We regret to inform you that only shortlisted
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baseline and temporal models, and integrating machine-learning components with analytical prototypes and software infrastructure. The work is expected to include, among others, biomedical, industrial, sports