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Field
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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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—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 22 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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detection of microbial bioburden in biopharmaceutical cleaning validation processes. The role involves aptamer discovery, nanomaterial-based SERS sensor development, and integration with microfluidic systems
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precision. Second, we must understand what to write - determining which DNA sequences will generate biological systems that perform the desired functions. Addressing these challenges will allow us to harness
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to their host and antibiotics and to translate these insights to develop innovative approaches to prevent, treat and diagnose bacterial infections. In particular, we are interested in understanding: i) how single
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this role, you will provide academic leadership in cutting-edge single cell and spatial biology methodologies, including but not limited to multi-omics, spatial transcriptomics, advanced imaging, high
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Recognition of Pathogen Targets” (EngToTarget), offering a unique opportunity to contribute to emerging approaches in autonomous experimentation, colloid science, and AI-driven materials research. About Us: The
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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