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public health. Is proficient in modern statistical modelling, AI & machine learning methods (e.g. system identification, regression models, Bayesian methods, deep learning). Is an experienced programmer in
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. Is proficient in modern statistical modelling, AI & machine learning methods (e.g. system identification, regression models, Bayesian methods, deep learning). Is an experienced programmer in R and/or
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1st March 2026 Languages English English English The Department of Mechanical and Industrial Engineering has a vacancy for a SFI FAST: PhD positions in Aluminium Extrusion and Forming (Two positions
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Package 3 (Trustworthy Data and Models) of the EU Horizon ENDOTRAIN doctoral training network. The recipient of this PhD position will carry out research activity at the Department of Computer science
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health in Europe. This project is part of Work Package 3 (Trustworthy Data and Models) of the EU Horizon ENDOTRAIN doctoral training network. The recipient of this PhD position will carry out research
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project is in close collaboration with the Head of Software - Technology and Innovation at EBU. You will have an extended and paid stay in Geneva with the EBU. As part of RePIM you will participate in
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Electrical Power Engineering and Mechatronics. The Proposed PhD thesis topic: “ AI-Driven Battery Life Optimization for V2X-Enabled Software-Defined Vehicles ” Supervisors: Sup. Researcher Dr. Hadi Ashraf Raja
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of Science and Technology (NTNU) for general criteria for the position. Preferred selection criteria Strong skills in programming languages and software-engineering paradigms, e.g. Python; OOA/OOD/OOP
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» Earth science Engineering Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country Estonia Application Deadline 31 Jan 2026 - 23:59 (Europe/Tallinn) Type of Contract Temporary Job
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-solar@cnrs.fr roberto.oberti@unimi.it How to apply? All information are provided here Deadline: 15th April 2026 Where to apply Website https://www.eu4greenfielddata.eu/phd-positions-application/list