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Field
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. Analytical skills, initiative and creativity are highly desired. You are a naturally curious person who is eager to learn more and has a strong interest in research. Excellent written and oral
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related disciplines. Experience with modelling multiphase flows or electrochemical reactors is a plus. We are looking for a talented, motivated and enthusiastic researcher. Analytical skills, initiative and
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technology and data or a technical profile with a background in medicine. Analytical and resilient: you are comfortable handling complex data and working in a demanding environment. Experience with statistical
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elements with controllable stiffness. The project will involve analytical and computational modelling, as well as designing and conducting lab experiments. Key questions include: How to create materials
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large cohort. As a PhD student in a new domain of research we expect you to: Conduct cutting-edge research in neuro-behavioral sciences using advanced analytical techniques. Collaborate with clinical
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considered an asset. Demonstrable methodological and analytical skills and the capacity to develop and conduct innovative research. Preferably experience with digital tools, such as Transkribus or GIS
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programming skills (Python/C++); Proven interest in generative models and Explainable AI is a plus; Analytical and creative mindset, with the ability to work independently and in teams; Excellent command
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degree in atmospheric science, physics, environmental sciences, remote sensing, or a related field. Strong analytical and problem-solving skills, with interest in linking satellite data and atmospheric
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unstructured data from various sources to enable advanced visualization and insights. Applicants should have experience in data management, predictive modeling of pavements, or infrastructure analytics. In
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, predictive modeling of pavements, or infrastructure analytics. In this PhD, you are expected to develop a systematic, future-proof framework for predicting pavement lifetime, with a strong focus on Dutch road