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Field
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includes ecologists, economists, apple growers, extension agents, and industry professionals. This is a great opportunity for a scientist interested in the intersection of ecology, sociology, and agriculture
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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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interaction, safe exploration, long-term monitoring). You will be responsible for developing new techniques for single- or multi-agent decision-making under uncertainty in the context of autonomous systems
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University upon termination. Adherence to University standards regarding use of isotopes, chemicals, infectious agents, animals, human subjects, and the like Open and timely discussion with the mentor
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learning, at the intersection of reinforcement learning, deep learning and computer vision, in order to train effective robotic agents in simulation. You should hold a relevant PhD/DPhil (or near completion
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-damaging agents (including radiation) and targeted therapeutics, and to understand how altered signaling can be exploited to increase the efficacy of cancer therapies. Among the key duties for this position
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to build a specialized AI agent for drug discovery. Enhance existing protocols for compound-protein interaction and/or binding affinity prediction within the CANDO platform. Enhance and integrate a network
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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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. These data will be complemented by data from a bespoke survey, designed and analysed by other members of the team. The results from the digital ethnographies will feed into spatial micro-simulation and agent