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Field
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. Experience developing and fine-tuning Large Language Models (LLMs) and transformer-based architectures. Practicalexperience building AI agents, including agentic workflows, autonomous decision-making pipelines
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for the challenge – we want you to apply. We believe skills are transferable and passion for our mission goes a long way. Candidates will need to upload a resume, letter of interest, unofficial copy of transcript
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other hazardous agents. Provide drug information to patients and to other professionals as requested. Qualifications Required: BS in Pharmacy or a PharmD degree. New York State Pharmacy License. Current
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and integrate emerging AI techniques (e.g., agentic workflows, LLMs) into scientific problems, ensuring methods effectively solve real domain challenges. Advanced Model Development: Design and debug
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reinforcement learning Experience with high-performance computing, physics-based simulations, and multimodal data workflows Demonstrated ability to train and deploy AI/ML models using simulated and experimental
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organization Knowledge of at least one empirical method (desirable) - Computable general equilibrium modeling and simulation or - Econometrics or - Agent-based modeling Excellent command of English High personal
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agent capabilities. • Define access, data boundaries, and governance for AI features. • Ensure alignment with institutional policies, compliance requirements, and risk controls. Security, Compliance
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, including cytotoxic and other hazardous agents. Provide drug information to patients and to other professionals as requested. Qualifications Required: BS in Pharmacy or a PharmD degree. New York State
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methods used in fields such as computational social science. Furthermore, applicants should have research achievements in one or more of the following areas: agent-based simulation, multi-agent systems
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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