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PhD Studentship: Robust, Certified, and Scalable Federated Machine Unlearning for Privacy-Preserving AI About the Project As federated learning systems become increasingly embedded in high‑stakes
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PhD candidate to develop the modeling and signal analysis methods that turn nanobubble ultrasound imaging into a quantitative diagnostic tool. You will work with imaging data acquired from lab-grown
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referees (with email addresses included); 5. At least one example of your written work (in English and including some data analysis) that shows your analytical and writing skills in a social science
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14 Sep 2026 Job Information Organisation/Company University of Oslo Research Field Medical sciences Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 28 Sep
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, nanoparticle delivery, CRISPR technologies, is considered an advantage but is not required. Additional Information Benefits - A 3-year PhD position for 28.8 hours per week (0.8 FTE), with the possibility
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at [email protected] . For questions about admission requirements and the application process, contact BI’s PhD Administration at phd@bi.no . Further information about the network is available at REGULAIRE
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responsibilities as PhD researcher: Analysis of genetic data. Functional analysis of identified proteins. Conducting systematic searches in literature databases. Validation of laboratory tests. Writing scientific
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, Norway Position: One PhD candidate position, full time, fixed-term contract of 48 months Doctoral programme: PhD specialisation in Communication at BI Norwegian Business School Application deadline: 15
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17 Sep 2026 Job Information Organisation/Company Theory of Nanophotonics group Research Field Physics Researcher Profile First Stage Researcher (R1) Application Deadline 21 Sep 2026 - 23:00 (UTC
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Max Planck Institute of Animal Behavior, Radolfzell / Constance | Radolfzell am Bodensee, Baden W rttemberg | Germany | 1 day ago
of the group is on the feedback between cultural practices and social relationships in non-human primates, combining existing observational data, quantitative modeling, and fieldwork. Project details The PhD