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closely related field. Solid background in machine learning. Strong programming skills for machine learning. Enthusiastic and motivated in application inspired ML research Interest in collaborating with
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cluster at the Van der Waals-Zeeman Institute for Experimental Physics (IoP-WZI), in close collaboration with Prof. Noushine Shahidzadeh (expert on crystallization and self-assembly) and Prof. Hannelore
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investigate the key parameters influencing the growth process, with a primary focus on anisotropic matrix organization. While this project is entirely computational in nature, you will collaborate closely with
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approach that will be used is Challenge-Based Learning (CBL) in which multi-disciplinary teams of students learn by conducting research and design projects on a societal problem in collaboration with
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and Dr. Martijn Hoes) at CARIM, collaborating nationally through the PRECISE consortium. Inherited cardiomyopathies caused by truncating variants in the TTN gene represent a major challenge in
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of institutional relationships. Job description As a PhD candidate, you will conduct independent research within the project while contributing to its comparative and collaborative structure. You will: Conduct
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democratising heritage tourism as part of the Marie Skłodowska-Curie Doctoral Network fellowship titled “HERITOUR - Enhancing collaborative synergies between Cultural HERItage and TOURism” About HERITOUR HERITOUR
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Engineering (SPE) program of the Sustainable Process Engineering group at Eindhoven University of Technology (see our website ). Within this collaborative and internationally connected team, you will work
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of the 3‑year timeframe. Why Radboudumc? At Radboudumc, you combine clinical relevance with cutting‑edge science in an environment where collaboration and innovation are central. You will have ample
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democratising heritage tourism as part of the Marie Skłodowska-Curie Doctoral Network fellowship titled “HERITOUR - Enhancing collaborative synergies between Cultural HERItage and TOURism” About HERITOUR HERITOUR