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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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at the Subnational Level in the European Union (SAESDGs-EU)”. PhD position in small area estimation in presence of latent variables PhD position in small area estimation in the context of multisource data (probability
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variables PhD position in small area estimation in the context of multisource data (probability and nonprobability data) The first position will be assigned to work package 1 (part B): Computing composite
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-based cryptography, we lack a satisfactory theory of security reductions. Secondly, many recent proposals lack sufficient cryptanalysis. A possible direction of this PhD project is to fill in these holes
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however still lacking. In your PhD you will therefore work on drone noise modelling, which is part of one of the core priorities of the European Commission’s Drone Strategy 2.02: the need for robust
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stepfamilies, the redistribution of economic resources is less self-evident. This PhD project examines resource pooling and financial transfers to children in postdivorce families, focusing on the role
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the Department of Sociology, the interdisciplinary programme SOCION and the interuniversity research school ICS. This PhD project is part of the SOCION consortium. SOCION addresses a pressing challenge of our
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PhD in the economic aspects of water-resilient landscapes Faculty: Faculty of Law, Economics and Governance Department: Utrecht University School of Economics Hours per week: 36 to 40 Application
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, and respectful research environment in the Department of Sociology, the interdisciplinary programme SOCION and the interuniversity research school ICS. This PhD project is part of the SOCION consortium
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for closed-loop VLA evaluation. This fully funded, four-year PhD position takes place at TU Delft and is carried out in close cooperation with researchers from Qualcomm, which funds the project. The research