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SHINE: SHaping unequal futures through Inherited Networks. SHINE collects multigenerational quantitative and qualitative data to study how parents’ social network connections and resources shape
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want to learn more about working at Radboud University, follow our Instagram account(link is external) and read stories from our colleagues. Is this the job for you? You can apply only via
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and clinical populations (e.g. stroke, brain tumour and neurodegenerative conditions). You will contribute to data preprocessing, and advanced analysis, including tractography, network modelling and
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Investigator (PI), Dr Marzi. Together, you will further develop and refine the PhD case studies, the research approach and the various work packages, as well as analyse data, participate in conferences and
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real estate value increments and conduct a study into how LVC can cover the expected costs of climate infrastructure and public goods. You will feed this data into a predictive AI model (developed by
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services (approximately six months). Candidates are also expected to spend a small number of hours on teaching duties. For more information about the PhD trajectory in general, please contact Suzanne van de
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Instagram account(link is external) and read stories from our colleagues. Is this the job for you? You can apply only via the button below. Address your letter of application to Paul Kouwer. In
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sensory neurons. You will have the opportunity to integrate different techniques and analyze data sets to understand which unique properties of motor and sensory neurons make them more vulnerable to
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Radboud University, follow our Instagram account(link is external) and read stories from our colleagues. Is this the job for you? You can apply only via the button below. Address your letter of
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towards a new conceptual model that explains the individual dynamics of fatigue. The project will start with an analysis of already-collected data. You will use several forms of time series analysis