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-preserving data analysis. We are looking for a PhD student to join our team and contribute to cutting-edge research in theoretical computer science, with a focus on Secure Multi-Party Computation. You will
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EO products, question their assumptions, limitations, and usability in operational contexts? If so, we have an exciting PhD opportunity for you! If so, we have an exciting PhD opportunity for you
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that could redefine how we treat osteoarthritis? We are looking for a motivated PhD candidate for a cutting-edge project at Radboudumc that aims to unravel and therapeutically target dysregulated energy
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PhD candidate on Interprofessional Learning and Team Resilience through the Electronic Health Record
-proof healthcare? This PhD position offers the opportunity to explore how interprofessional teams can use insights from the Epic electronic health record to learn together, improve care, and strengthen
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this PhD position, you will study how citizen collectives can mobilise broad groups of citizens to contribute to sustainability transitions. You explore how these collectives and their networks reach
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PhD position: Global soil mapping with process-informed machine learning Faculty: Faculty of Geosciences Department: Department of Physical Geography Hours per week: 36 to 40 Application deadline
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or are willing to acquire the relevant skills during your PhD project. You have an affinity with Digital Humanities, especially with network analysis and visualisation tools (e.g. Nodegoat, Gephi). You are able
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? No Offer Description Are you interested in how creative practices and competencies foster better collaboration between citizen collectives and local governments? Apply for this PhD position and join
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is looking for an aspiring PhD candidate to research causal machine learning and uncertainty quantification for Earth Observation time-series. Currently, predictive AI in Earth Sciences relies heavily
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of endogenous gene expression using sequence-specific DNA- and histone-modifying tools, might be a potential solution! We are hiring for a PhD student to join the group for a fully-funded project of 4 years