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in a Unix environment and on high-performance computing equipment. Learning Objectives: Under the guidance of a mentor, you will have the opportunity to learn to: (a) apply methods in computational
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: Probabilistic generative models (VLMs, diffusion, flow models) Reinforcement learning & Markov decision processes Causal inference & counterfactual reasoning Mechanistic & physics-informed modeling Agentic AI
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, or comparable research experience, along with significant experience in machine learning, computer programming, computational biological applications. A strong background in statistics and biology. Experience
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community partners to ensure outputs reflect local priorities and inform adaptation planning. Duties may include: Develop spatially explicit computational models using machine learning, hydrologic, and energy
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | 1 day ago
advanced in silico prediction algorithms, analyzing machine learning approaches for toxicity pattern recognition, and participating in developing standardized computational frameworks for regulatory
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of research, testing and data collection, analysis and evaluation, and writing reports which contain descriptive, analytical and evaluative content. The purpose of this role is to acquire the professional
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identification and application of mitigation strategies. Learning Objectives: Under the guidance of a mentor, you will have the opportunity to learn to: Describe interdisciplinary research approaches in genetics
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, human error or deliberate attack, CDC fights disease and supports communities and citizens to do the same. Project Description: This opportunity offers a mentored learning experience focused on advancing
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Advancement Business Unit University of MO-St. Louis Posted Date 08/26/2026 Close Date 09/22/2026 Job Title Senior Human Resources Consultant, Learning and Organizational Development Job ID 60460 Location
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, and evaluation approaches. 2) Observe and learn how longitudinal studies using large administrative health claims and other public health datasets are designed, conducted, and interpreted. 3) Gain