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Center for Drug Evaluation and Research (CDER) | Southern Md Facility, Maryland | United States | about 1 month ago
Skip to main content FDA Postdoc Fellowship- PBBM/PBPK Model Library for Development of Predictive Dissolution Methods for Medium and High Risk Solid Oral Immediate Release Products Organization U.S
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with data-driven models (hybrid modeling) for improved accuracy and generalization. Development of real-time optimization algorithms and model predictive control (MPC) strategies for adaptive process
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, reliability, and autonomy Design and implement advanced control strategies (e.g., model predictive control, adaptive control, feedback/feedforward control, ML-based controls) for thermal system
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health data science. Primary responsibilities Design, implement, and validate predictive models that use imaging data (e.g., CT, MRI, PET) to forecast response to adjuvant treatments. Build end-to
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. Strong proficiency in machine learning and statistical modeling, including development and validation of predictive models using large-scale data. 3. Proficiency in large language model (LLM) and
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), and data-model integration, leveraging the U.S. Department of Energy’s (DOE) Leadership-Class Computing Facilities to advance predictive understanding of complex environmental systems. Major Duties
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pretraining and downstream predictive and generative applications. Your main responsibilities are to: • design, implement and benchmark foundation-model architectures for microbiome data, including
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Responsibilities: Develop a predictive model integrating the direct and indirect costs of urbanization. Calibrate this model using real data from specific case studies. Simulate urbanization costs based on various
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Position Details Position Information Internal Posting? Posting Number SP005013P Position Title Postdoctoral Research Associate, Predictive Modeling for Mental Health Outcomes Division/College
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laboratory workflows. The position will focus on building the data resources, predictive models, and closed-loop decision frameworks needed to accelerate experimentation and advance next-generation