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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 14 days ago
to bandit algorithms when the performance criterion is not the expected outcome but some risk averse measure such as CVaR or entropic risk. The objective is to propose and analyze new risk-aware bandit
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. The position is embedded in a large interdisciplinary research project, ICARUS, that investigates individual vulnerability, behavioral change, climate change attitudes, and risk under environmental heat stress
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and scientific articles the supervision of PhD and master students Your Profile: Completed academic university degree with subsequent PhD in physics, computer science, mathematics or comparable fields
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
Posting Information Posting Details Department Inst Risk Mgmt Ins Innov - 633700 Posting Open Date 03/01/2026 Application Deadline 06/01/2026 Open Until Filled No Position Type Postdoctoral Scholar
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We are looking for a person who wants to develop new practices for managing risks from unwanted chemical pollutants in drinking water sources and wastewater reuse. About the position Chemical
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risk assessment through open and data-driven approaches, supporting more informed decision-making across the food supply chain. Supervisor: Pablo Salvador Fernández Escámez . Co-supervisor: José María
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UnitedKingdomTime) Position Description: Apply Position Description We invite talented and motivated applicants for PhD and Postdoc positions in the group of Haowei Xu (https://www.haoweixu.com/ ) at the Department
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. Read more about CEBE (https://villumfonden.dk/en/nyhed/billion-kroner-research-grant-accelerate-green-transition-built-environment). The transition from CO2 producing building materials to renewable, CO2
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Your Profile: Basic qualifications: Completed Master’s degree with subsequent PhD in Physics, Chemistry, Material Science or related disciplines Experience with neutron spectroscopy (e.g. INS, QENS, NSE
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will be used to ground-truth model outputs, refine risk indicators, and assess the effectiveness of adaptive forest management strategies. Your background We are looking for a person with a PhD in