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-Informed Neural Networks (PINNs) and hybrid models that respect the physical laws governing the real-world system Applying Deep Reinforcement Learning (DRL) algorithms to optimize processes within simulation
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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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Center for Drug Evaluation and Research (CDER) | Jefferson, Arkansas | United States | about 2 months ago
outcomes and their underlying biological factors in the rat following perinatal exposure. Under the guidance of the mentors, you will engage in many aspects of the research process, including experimental
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—energy management by building on and scaling the HouseZero ® concept—Harvard’s prototype for ultra-efficient, naturally ventilated smart buildings—into interconnected communities. This unique initiative
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Center for Devices and Radiological Health (CDRH) | Southern Md Facility, Maryland | United States | about 9 hours ago
on the development of optical models, image acquisition software, image processing algorithms, and deep learning algorithms using Zemax, Python, Matlab, LabVIEW, CUDA, and other programming environments. Training
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School of Medicine Indianapolis Position Summary Postdoctoral Researcher to advance research at the intersection of artificial intelligence for healthcare, multimodal data analysis (EHRs, medical imaging
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candidate will have a background in multi-omic data processing, analysis, and modeling, with a strong interest in understanding molecular mechanisms of disease. Research plans will include the development
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strong interest in any of the following: Image Processing, NLP, Knowledge Representation, Clinical Informatics, Bioinformatics, Biomedical Ontology, Nursing Informatics, Imaging Informatics or Public
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work outside of his/her discipline to accomplish project goals. · Experience with flow cytometry, immunofluorescent imaging, confocal microscopy, ELISAs, and PCR. · Experience with microfluidics
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), cardiac Imaging and cardio-oncology, in addition to several research fellowships. Our cardiologists are actively engaged in cutting edge collaborative research, spanning basic science, translational