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PhD Position in Engineering Materials Project: Development and Characterization of Advanced Sorbents
PhD Position in Engineering Materials Project: Development and Characterization of Advanced Sorbents Lulea Reference number 3877-2026 Luleå University of Technology experiences rapid growth with
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knowledge and experience in computing, algorithm development, computer simulation, and/or artificial intelligence and machine learning; has excellent communication skills and a demonstrated ability to
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Login HOME JOBS SPONTANEOUS APPLICATION Taal English (United Kingdom) Nederlands (Nederland) View profile Employee Login HOME JOBS SPONTANEOUS APPLICATION Apply now » PhD Position in the Development of
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and GWAS methodology Machine learning approaches for high-dimensional data Algorithm development and evaluation Applications of AI in biomedical research This project is suitable for students with an
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and GWAS methodology Machine learning approaches for high-dimensional data Algorithm development and evaluation Applications of AI in biomedical research This project is suitable for students with an
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, Position 2 on adaptive policies, and both will work jointly to integrate the two approaches into a single RL algorithm. While the work is mainly methodological and theoretically focused, our Aalto robot lab
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languages ( e.g. , Python, C++) for algorithm development, simulation, and data analysis Background in real-time signal processing ( e.g. , time-series data, filtering, feature extraction
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feeds Post-doctorat - HED models development into the ESTHER code and experimental applications - H/F 187 / 668 vacancy Détail de l'offre Description du poste Domaine Physique du noyau, atome, molécule
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on qualified candidates for the position. DTU Civil and Mechanical Engineering develops and utilizes science and technical knowledge for the benefit of society and sustainable development. We
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development of reproducible wide-bandgap perovskite absorbers and complete perovskite subcells, including their intrinsic stability, phase behaviour, interfaces, and accelerated ageing. CEA focus