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Inria, the French national research institute for the digital sciences | Villeurbanne, Rhone Alpes | France | 30 days ago
agent-to-agent interactions. Develop and evaluate privacy-enhancing mechanisms tailored to agentic AI systems. Build experimental prototypes and benchmark privacy, utility and system-performance trade
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legislation, the successful candidate's appointment is subject to authorization by the competent authority of the French Ministry of Higher Education and Research (MESR). Precision nanomedicine requires
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between peptides and surfaces, including MOFs, and unravel the physical mechanisms of their aggregation at these surfaces. Build a highly coarse-grained model for MOFs with tunable pore and surface
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degree (PhD), it is important that you are able to: Work independently Work in a structured way, set goals and make plans to achieve them Present and discuss your research with other professionals Get
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Position Description The LHC Physics Center (LPC) at Fermilab (https://lpc.fnal.gov/ ) seeks applications for CMS LPC Distinguished Researchers (DR) in both the Senior and Junior category
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Inria, the French national research institute for the digital sciences | Saclay, le de France | France | 2 months ago
with language models (e.g., ChatGPT). More recently, AI has begun to be applied to scientific and engineering problems. Its goal is to create an "augmented engineer" who can carry out studies and make
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that protectLMIC infants from both. This is a 4 year PhD project based at the Amsterdam UMC's Department of Global Health, building on collaborations with the Centers for Infectious DIsease Research in Zambia
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Website https://www.academictransfer.com/en/jobs/363370/phd-position-fatigue-in-motion/… Requirements Specific Requirements You hold an MSc degree in Human Movement Sciences, Neuroscience, Biomedical
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://fses.uniba.sk/en/studies/admission-procedure/phd-studies/vypisane-temy-dizertacnych-prac/ Profiles of supervisors and contact information:https://ekonom.sav.sk/en/staff Where to apply Website https
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; Build data and knowledge infrastructures, namely knowledge graphs, ontologies and multimodal representations of the CENSE scientific body; Collaborate with the CENSE team and external partners in