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Center for Devices and Radiological Health (CDRH) | Silver Spring, Maryland | United States | 2 days ago
designing, implementing, and optimizing computational pathology workflows from image acquisition through analysis output with understanding pre-processing techniques Learn about cutting-edge vision and
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techniques including patch clamp electrophysiology, confocal and two-photon imaging, molecular biology and biochemistry, and behavioral assays. Purpose To provide research support in the lab of Dr. Amy Lee
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Surgery Campus IU School of Medicine Indianapolis Position Summary POST-DOCTORAL POSITION IN STEM BIOLOGY in the Department of Otolaryngology-HNS We are looking for a motivated and creative post-doctoral
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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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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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Center for Devices and Radiological Health (CDRH) | Southern Md Facility, Maryland | United States | 2 days 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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—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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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