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after a first positive evaluation. You conduct research in a driven research environment, leading to a doctoral degree. You will become part of a dynamic research group, with access to computer
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estimates that the researcher can publicly defend the dissertation in approximately one year. Read about the employee benefits at the University of Helsinki and why University of Helsinki is an excellent
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next generation of physics-based degradation models grounded in measured rather than assumed parameters. This project offers a rare combination of fundamental scientific depth and clear industrial
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Institute of Genetics and Animal Biotechnology of the Polish Academy of Sciences (formerly Institute of Genetics and Animal Biotechnology PAS) | Poland | about 1 month ago
/research interests (maximum one A4 page) b. CV with particular emphasis on scientific achievements. c. A copy of the graduation diploma or information about the approximate time of obtaining the master's
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or equivalent High competence in machine learning and robotics Knowledge and experience in computer vision is an advantage Good mathematical and programming skills (Python and C/C++; ROS is an advantage) Good
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or equivalent High competence in machine learning and robotics Knowledge and experience in computer vision is an advantage Good mathematical and programming skills (Python and C/C++; ROS is an advantage) Good
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20 Aug 2026 Job Information Organisation/Company Eindhoven University of Technology (TU/e) Research Field Engineering » Computer engineering Engineering » Electrical engineering Researcher Profile
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within the Solid-state Quantum Technologies team (S2QT – https://solidstatequantumtech-l2c.fr/ ) of the Charles Coulomb Laboratory in Montpellier. The doctoral work will be supervised by Vincent Jacques
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degree or equivalent Diploma degree Preferred fields of study: Computer Science, Information and Computer Engineering, Software Engineering and Management, Mathematics, or equivalent disciplines Extensive
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be advantageous: Experience with scientific expeditions Experience in computer-aided analysis of biological sequence datasets (e.g., with R, Python and Bash/Linux environments) Basic understanding