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optimization and LLM alignment: design preference-based training and fine-tuning methods (RLHF, PPO, DPO, reward modeling) for medical and multilingual LLMs. Agentic and tool-augmented AI systems: develop
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of patients with colorectal cancer to the treatment with small molecule chemotherapeutic agents. For this position it is: Required: - Hold a PhD degree in biological or biomedical sciences obtained after
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Overview RUTGERS CANCER INSTITUTE VISION, MISSION, AND CORE VALUES: VISION: Through our science, our evidence-based actions, our openness, and our respect for those we serve, we will advance cancer-focused
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physical agent-based models, as well as the integrations of omic information to validate model predictions and developed in the context of the HPC environments at the BSC and at other HPC centres in Europe
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learning and LLM frameworks like LangChain and agent-based LLM frameworks, Retrieval Augmented Generation (RAG). Experience with fine-tuning, deploying, and evaluating Large Language Models. Experience with
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, or trustworthy AI agentic AI, multiagent systems, sequential decision making, and LLM-based reasoning embodied or physical AI, robotics, autonomous systems, or intelligent infrastructure systems strong programming
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developers of Jarvis . Anticipated Division of Time 80% Research: Build, train, and evaluate cutting-edge AI models and multi-agent systems for conservation genomics; perform feature engineering using
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probe flavin chemistry using a powerful combination of approaches: the design of biomimetic flavin models (lumiflavin-based systems), detailed mechanistic studies in solution, and state-of-the-art gas
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candidate will develop and test novel user interfaces that integrate state-of-the-art Large Language Models (LLMs) with novel logic-based multi-robot planning algorithms. This work will be evaluated through
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Post-Doctoral Associate in the Center for Interdisciplinary Data Science and Artificial Intelligence
and AI agents, and finally (c) designing specialized interactive multimodal multi-lingual natural interfaces. Applicants must have a PhD, MD, DDS, or equivalent advanced or terminal degree from a