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an integrated interdisciplinary PhD programme that consists of three main components: 1. An interdisciplinary research project that combines concepts and methods from different fields. 2. A substantial programme
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of Marine Technology , as part of the Norwegian Maritime AI Center (MAI) at NTNU . As a PhD candidate, you will conduct research to develop AI-driven methods for efficient methods for simulation-based testing
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Institute of Low Temperature and Structure Research Polish Academy of Sciences | Poland | about 7 hours ago
Chemistry Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 23 Mar 2026 - 23:59 (Europe/Warsaw) Country Poland Type of Contract Temporary Job Status Full-time Hours
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to complementary expertise in energy systems, spatial analysis, and artificial intelligence. The PhD position will be formally hosted at Empa, with opportunities for research stays at partner institutions in
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the PhD thesis in either language, English or German. Full-time / part-time full-time Mode of study Hybrid Programme duration 6 semesters Beginning Only for doctoral programmes: any time Additional
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team as a PhD candidate to work on beyond the state-of-the-art model distillation and robustness methods, enabling efficient, reliable inference for challenging real-world problems in the semiconductor
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twins, human-centric systems, robotics PhD-E: Optimizing Images Quality and Deep Learning Methods for Vineyard Disease Detection. PhD grantors: University Padova (IT) & Poznan University of Technology (PL
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Description The Chair of Theoretical Chemistry at TU Dresden lead by Prof. Thomas Heine is looking for a PhD student for a position funded by the German Federal Ministry of Education and Research
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of Gdańsk is seeking a candidate for the position of: PhD student at the Department of Translational Oncology (f/m) A person meeting the requirements will take part in the implementation of a research project
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application! We are looking for a PhD student in Statistics and Machine Learning Your work assignments We are looking for a PhD candidate to work in the intersection of computational statistics and machine