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the sensitivity of our new measurements to pathology (e.g., neurodegeneration, vascular injury) in post-mortem human brain samples. Acquire MRI data of healthy volunteers and study the distribution of cortical
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collaboration with Philips Medical Systems. You will be part of a diverse and passionate research team of academic staff, PhD candidates and Postdoctoral researchers in the Computer Engineering group. Curious
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Social Science, or related field; has strong affinity with the study of families and economic inequality; has experience with both quantitative and qualitative research (or is motivated to learn both types
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project. You will collect, develop and pilot aforementioned methods, in collaboration with a diverse group of stakeholders, including biomedical researchers, patient representatives, model developers
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-learning (ML)- driven and physics-based computational workflows to screen large molecular libraries, predict key electrochemical and physicochemical properties, and deliver ranked shortlists of high[1
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curiosity driven, and have strong analytical and problem-solving skills. You are eager to learn new skills and to work together with colleagues and industry partners to work on the development of new
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emerging field with your insights. You will learn how to design chemical reaction networks at material interfaces and become a forerunner in chemically-programmable coatings. Briefly, the core objective of
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components. Translate complex device behavior into efficient, simplified parametric models for PDKs. Validate models through experiments and collaborate closely with process, PDK, and PIC design teams
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and contributing to a refined understanding of psychological processes. We value collegiality, knowledge exchange, and collaboration within our research group as well as with other research groups
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to collaborate with and supervise Bachelor and Master’s students. Would you like to learn more about what it’s like to pursue a PhD at Radboud University? Visit the page about working as a PhD candidate . Where to