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position within the Rinn Artificial Intelligence – Research & Innovation in Data Science and AI funded by Research Ireland within the School of Computer Science and Information Technology and this position
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24 months, Fixed Term, whole-time Post Applications are invited for a Post-Doctoral research position Rinn Artificial Intelligence – Research & Innovation in Data Science and AI funded by Research
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Post Doctoral Researcher Rinn Artificial Intelligence – Research & Innovation in Data Science and AI
24 months, Fixed Term, whole-time Post Applications are invited for a Post-Doctoral research position within the Rinn Artificial Intelligence – Research & Innovation in Data Science and AI funded by
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Time Zone Description The U.S. Department of Energy (DOE) Office of Critical Minerals and Energy Innovation (CMEI) Science, Technology, and Policy Program (STP) Fellowship offers an opportunity
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. The successful candidate will be joining the Nanophotonics Theory group led by Prof. Dr. Javier Garcia de Abajo. We aim to design waveguides integrated within a planar geometry, incorporating efficient in- and
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projects in and around the group address, among other things, AI-supported code review, semi-automatic code improvement, trust calibration in LLM-assisted refactoring and the design of trustworthy agents in
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decision-makers navigate these challenges by identifying low-regret near-term actions and avoiding costly decision lock-ins. Building on this framework, this position focuses on designing robust multi-risk
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new technologies for genetic privacy, a problem requiring molecular and computational systems to be designed together rather than sequentially. The postholder will join an active team developing
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regions to design novel gene edits related to feed efficiency and productivity, as well as their impact in breeding programs in low- and medium-income countries. The successful candidate will join a new
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research in electrochemical processing and functional coatings. The primary goal of this work is aimed at advancing material design and surface modification for the electrodeposition of hard-to-deposit