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to study and predict. In this four-year SNF-funded project, you will develop data-driven, multiscale simulation methods that combine computer simulations, machine learning, and surrogate models to explore
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A large volume of data are routinely captured in high-performance training and competition environments. Whilst these data have the potential to inform key performance decisions, the full potential
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, learning, and inference for classical and quantum data. At the Technical Faculty of IT and Design, Department of Computer Science, one or more PhD stipends/Integrated PhD stipends in representation
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PhD Stipend/Integrated Stipend in representation, compression, learning, and inference for classical and quantum data. At the Technical Faculty of IT and Design, Department of Computer Science, one
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Job Advertisement 2026-04 At the Leibniz Institute of Atmospheric Physics (IAP), a part-time position (75%) in the Department “Optical and Rocket Soundings” is available as PhD Student, Multi
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aid referee decision-making there are many other potential applications for this type of technology and data. The ability to capture the detailed movement of 22 players and officials around the entire
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sciencesEducation LevelMaster Degree or equivalent LanguagesENGLISHLevelExcellent Research FieldComputer science » Database managementYears of Research ExperienceNone Additional Information Benefits •A fulltime PhD
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UiA-CERN PhD Position in Multi-robot Mapping and Environmental Data Sharing - Uncertain Environments
1st May 2026 Languages English English English UiA-CERN PhD Position in Multi-robot Mapping and Environmental Data Sharing - Uncertain Environments Apply for this job See advertisement About the
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3 Apr 2026 Job Information Organisation/Company CNRS Department Institut des sciences de la Terre Research Field Geosciences Astronomy Environmental science Researcher Profile First Stage Researcher
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Job Advertisement 2026-03 At the Leibniz Institute of Atmospheric Physics (IAP), a part-time position (75%) in the Department “Modelling of Atmospheric Processes” is available as PhD student