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project (and a 2nd PostDoc vacancy within the project) can be found at its website: https://www.mobilitydesaignlab.nl/. Job requirements The candidate should have: a PhD degree in Artificial Intelligence
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of language. Required qualifications PhD (or confirmed defense date) in neurolinguistics, cognitive neuroscience,psychology, or a related field Experience with fMRI acquisition and/or analysis Demonstrated
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to develop generative AI methods for nanoparticle drug delivery design, at the intersection of machine learning, explainability, and pharmaceutical nanotechnology. Job description We are looking for a
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qualitative research methods, and are interested in investigating the emotional and bodily dimensions of media work. As a Postdoctoral Researcher, you will conduct research within a larger project examining the
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An already acquired Phd in Electrical Engineering, Computer Science, Applied Mathematics, or a relevant field Affinity for formal and simulation models, as well as algorithmic solutions to problems
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(an initial) 3 years. Within the Flack group, you will develop tools and methods for epigenetic editing, and use these to engineer bovine satellite cell lines with a variety of new and improved phenotypes
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Postdoctoral researcher MAKEBELIEF: Imagineering Religion and Religious Heritage in China - Meertens
China. You will engage a combination of methods, including historical analysis, (remote) digital ethnography and potentially ethnographic fieldwork. You will also participate in collaborative and
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stakeholder analysis, using methods such as literature review, qualitative interviews, and network analysis to identify key actors, trust flows, and governance dynamics. Building on these insights and those
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for policymakers? Are you excited by the prospect of performing a mixed-methods study on evaluating One Health surveillance systems, governance, and law in real-world settings? The ‘One Health’ approach recognizes
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contribute to developing this theoretical framework, with a strong focus on analytical modeling, computational methods, and the interpretation of learning signals embedded in physical structures. Recent