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DC-26094– POSTDOC/DATA SCIENTIST – AI-DRIVEN CLIMATE RISK MODELLING AND EARLY WARNING SYSTEMS FOR...
: https://www.list.lu/ How will you contribute? You will be part of LIST’s Remote sensing and natural resources modelling group Embedded in the Environmental Sensing and Modelling (ENVISION) unit
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evaluation pipelines (e.g., LLM-as-a-judge), robustness/bias/hallucination mitigation, and multilingual evaluation protocols. As part of this position, your tasks also include: Conduct high-quality research
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 22 hours ago
distributions, point estimation, confidence intervals, testing (Neyman-Pearson Theorem, uniformly most powerful test, likelihood ratio tests), unbiasedness, consistency, sufficiency, complete statistics, and
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. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting. Position Summary Reporting to the Executive Director of
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d'estimateurs pour générer des estimations correspondant à différents sous-ensembles de capteurs. Une telle approche est NP-difficile. Étant donné une limite supérieure du nombre de capteurs attaqués, des
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systems. This includes intercom systems, fire systems, security systems, P.A. systems, surveillance systems, fiber optics, TV distribution systems, card access systems, voice & data cables, lab equipment
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Apply now Job no:535374 Work type:Faculty - Pro Tempore Location:Eugene, OR Categories:Instruction, Computer and Information Science Department: CAS CIS Computer & Information Science Rank
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inspect equipment and telecommunications room power systems, including UPS (Uninterruptible Power System), PDU (Power Distribution Unit), data cabling, and supporting components. Respond to and resolve
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meetings, board meetings and other department/school-related meetings and record and distribute minutes and agendas (as needed0, send to faculty via e-mail and post as needed. Initial contact with potential
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, Distributed Ledger (blockchain), Language Technologies, Mixed Reality, Recommender Systems, Distributed Systems and Graph Theory. A full list of computer science faculty members is available here: https