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focuses on AI-driven fault diagnosis, predictive analytics, and embedded self-healing mechanisms, with applications in aerospace, robotics, smart energy, and industrial automation. Based
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. - Demonstrable methodological and analytical skills and the capacity to develop and conduct innovative research. - A clear and well-articulated motivation for pursuing PhD research. - High level of spoken command
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ecology). - Is curiosity-driven and creative, with strong analytical and research skills, able to express (own) ideas and arguments at an academic level. - Has experience in and affinity with qualitative
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disciplines strong analytical and methodological skills with a focus on quantitative data analysis (e.g., econometrics, statistics, machine learning) a high motivation and the ability to work independently with
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of 8.0 or above on the Dutch scale (or international equivalent) is preferred. Demonstrable methodological and analytical skills and the capacity to develop and conduct innovative research. A clear and
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degree in Biotechnology, Molecular Biology, Microbiology or similar and must have obtained the degree or equivalent by the DC start date; Experience in fundamental biochemical and analytical methods
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-analytic methods (e.g., meta-analytic structural equation modeling) We are looking for a motivated researcher who is eager to contribute to a vibrant and growing field with strong societal relevance. Your
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Proven experience with epidemiological methods and data analysis Interest in applying AI tools to support scientific workflows A strong analytical mindset and attention to detail A systematic and
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Analytical chemistry o Wearable sensors (Attach publications or master's thesis related to these topics.) - Fluent English proficiency (B2/C1 level or higher). General Skills We are looking for candidates who
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proof-of-concept software tools Machine learning is a plus Strong analytical and programming skills are required (Python, Matlab, and C/C++). Prior proven experience in data-driven innovation projects is