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Center for Drug Evaluation and Research (CDER) | Southern Md Facility, Maryland | United States | about 20 hours ago
from clinical studies. Learning Objectives: Through this opportunity you will; Establish collaboration framework with FDA internal and external stakeholders for various specific domains including opioids
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research in formal verification, machine learning and artificial intelligence system assurance. The successful candidate will develop new techniques and tools for analysing, verifying and improving
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to groom the next generation of leaders, thinkers, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an exciting place to learn and
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processes, stochastic control, optimization, or reinforcement learning; • Solid mathematical training and ability to work with rigorous proofs; • Familiarity with Markov decision processes, dynamic
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, data processing pipelines, machine learning and generative AI applied to physical activity and sleep research. The position will contribute to the development of an AI-based behaviour change tool and
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areas, each offering structured training and learning experiences. Project 1: Drug Competition and Access You will participate in research and analysis examining FDA's drug approval programs, generic and
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. 5. Familiarity with scientific machine learning and data-driven modelling.
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will work on a highly interdisciplinary and ambitious research program that aims to apply theory-driven cognitive computational modeling to rich and intensive educational data obtained from learning
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knowledge-grounded reasoning with flexible machine learning Tools that reduce manual burden while preserving traceability and clinical interpretability This position offers the opportunity to publish novel
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foundational methods for integrating single-cell and clinical transcriptomes; and train, fine-tune, and validate deep learning models using multi-omics and imaging data to predict clinical outcomes such as