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Field
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application of spatial microsimulation and agent-based models in relation to the Horizon Europe project MOBI-TWIN ( https://mobi-twin-project.eu ). ????-TWIN is a Horizon Europe project that investigates
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regulatory contexts, and the consequences of this for democratic norms and political trust. To this end, four agents in the electoral context are studied in four countries: candidates, campaign professionals
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disciplines, namely Mathematics, Computer Science and Artificial Intelligence. The position is embedded in the Multi-Agent Systems group of the department of Artificial Intelligence of the Bernoulli Institute
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-clinical development of novel anti-cancer therapies and novel drug combinations, as well as characterizing the mechanisms of resistance to FDA approved agents. These activities of the successful candidate
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is fixed-term to the 30th September 2026. We are looking for great machine learning researchers to join one of three on going areas in the Torr Vision Group. The first is on foundational work on agents
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in the presence of strategic agents. For further information about potential research directions, please visit http://www.mit.edu/~vakilian/ . Applicants should submit: - Cover Letter - Curriculum
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Expert in advanced machine learning such as multi-agent generative AI, LLMs, Diffusion models, and traditional machine learning techniques Expert in CALPHAD-based ICME techniques Expert in combining
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, chemicals, infectious agents, animals, human subjects, and the like open and timely discussion with the mentor regarding all facets of the postdoctoral Appointee's research activities. Postdoctoral Appointees
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biosphere defenders in Colombia and Ecuador use laws and policies in everyday life to exercise the R2HE? How do they leverage local values and traditional knowledges to position themselves as political agents
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immunological approaches to understand the mechanisms of cancer predisposition, initiation, and progression and to develop agents (compounds, antibodies, and vaccines). Job Duties Functions independently