36 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "University of Plymouth" positions at Radboud University
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procedure and how we handle your personal data and internal and external candidates. Website for additional job details https://www.academictransfer.com/357054/ Work Location(s) Number of offers
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procedure . It describes what you can expect during the application procedure and how we handle your personal data and internal and external candidates. Website for additional job details https
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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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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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the intervention planned. In addition, there are opportunities to write on existing data of the project. We are looking for a postdoctoral researcher for the NWO Vici research project on ‘Opportunities and
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through personalised feedback and monitoring of health data, rehabilitation progress and quality of life. For more information, see here(link is external) . Within this project, you will be involved in
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) and coordinating data integration across existing large-scale datasets (e.g. HCP). The role requires close collaboration with computational neuroscientists, clinicians and international partners
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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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continuing in the programme, we now offer this position. More information about the project can be found here(link is external) . At Radboud University, the project will focus on the mechanisms underlying
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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