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(agent p sends to agent q the message m). A global type may be projected on each agent, leading to a local type that is used to check that, locally, the agent follows the protocol. Formally, the local type
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well as interpretability of scientific foundation models. The rush to build foundation models has led to the development of large machine learning models in Astrophysics, fluid dynamics, biology, weather prediction, solar
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on building and understanding foundation models for science, and in particular modeling complex interconnected systems from astronomy, biology, fluid dynamics to solar physics. For this position, we are looking
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development and evaluation efforts, including generative AI experimentation, model validation, and responsible AI practices within healthcare analytics workflows. Internship Objectives By the end
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medical, dental and vision coverage effective on your very first day 2:1 Match on retirement savings Job Summary We are looking for an AI/ML Research Engineer/Programmer to work on interdisciplinary
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the guidance of the PI. The project aims to understand the neural computation in context-dependent decision-making tasks using recurrent neural network models. The candidate will learn to train neural
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Overview SCHARR-TAG (https://sheffield.ac.uk/scharr/research/scharr-tag ) at the University of Sheffield has an exciting opportunity for someone with a passion for health economic modelling and cost
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Interacting dark energy models in light of cosmological data School of Mathematical and Physical Sciences PhD Research Project Self Funded Prof Carsten van de Bruck Application Deadline
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simulation model that accommodates management interventions and different environmental scenarios. Position supervised by Dr. Matt Falcy of the USGS, Idaho Cooperative Fish and Wildlife Research Unit at the
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reproducible scripts. Uses code repositories and CI/CD methods for model and analytics deployment. Ensures data accuracy through validation and rigorous quality checks. Partners with IT and data engineering to