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across the following research areas: Predictive machine learning Robust and stochastic optimization Learning-enabled control and reinforcement learning Power system operations, planning, and electricity
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Center for Devices and Radiological Health (CDRH) | Southern Md Facility, Maryland | United States | 10 days ago
understandable and accessible science-based information about the products overseen by CDRH. CDRH facilitates medical device innovation by advancing regulatory science, providing industry with predictable
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, as well as from industry. The successful candidate will work in the established collaboration between DSB and ICGI to develop multimodal deep learning models for predicting prostate cancer
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neurophysiological experiments - mathematical analysis of the dynamics of neural networks - programming and numerical simulations of neural networks - development of quantitative model predictions and
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | 10 days ago
published data submitted to the public docket. Therapeutic Area Research: Research and analyze data related to analgesic drugs, cough cold medications, addiction control products, gastrointestinal drugs
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earlier and empowering patients to take control of their lung health. You will work closely with an interdisciplinary team from six institutions: Professor Moi Hoon Yap (Manchester Metropolitan University
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numerical models and machine learning tools to predict loads, assess structural responses, and identify damage under extreme conditions. By combining computational simulations with data-driven approaches
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processes (attentional control and working memory) that are known to contribute to language learning, 2) if these cognitive and neural predispositions predict individual rate of subsequent language learning
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descriptions, embeddings, metadata). Train and evaluate models for representation learning and prediction (e.g., PyTorch, Transformers, CNN backbones, contrastive/embedding objectives). Perform rigorous
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or predictive modelling, edge AI, AI for biomaterials formulation, processing and manufacturing optimization. Wearable devices – wearable physiological sensors, smart textiles, soft robotics, and exoskeletons