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researchers engaged in a Defense Health Agency project on spatial orientation modeling and disorientation mitigation. The research fellow will participate in generating a report for the Spatial Orientation
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animal models. The work will include: Biochemical Analyses: Investigating molecular pathways and biomarkers. Cell Culture and Imaging: Utilizing cell and tissue imaging techniques to study mechanisms
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to employ innovative bioinformatics approaches to dissect in both human-relevant models of lung cancer as well as unique cohorts of human lung tissues the tumor "ecosystem" and profile in-depth phenotypic and
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background in hydrology, numerical/analytical modeling, programming, and data management/analytics is needed to support existing and forthcoming projects in the BEG hydro group. Purpose We are seeking highly
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graduate and undergraduate students, as well as summer medical students, in their research projects. Additionally, the Fellow will contribute to maintaining animal models, and tissue culture, and performing
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intelligence and machine learning Food is Medicine policy analysis, evidence synthesis, and simulation modeling, including impacts on health, costs, and cost-effectiveness Strengthening nutrition security in
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our team focused on advancing kidney gene therapy. The project integrates in vitro, ex vivo, and in vivo experimental approaches using both porcine and human models. Appointment Details · Start
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& Bioinformatics, is seeking candidates for a postdoctoral research fellow position. This is primarily for an NIH-funded project developing multimodal variational autoencoder models and probabilistic trajectory
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researcher with a strong background in hydrology, numerical/analytical modeling, programming, and data management/analytics is needed to support existing and forthcoming projects in the BEG hydro group
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 12 hours ago
, reinforcement learning, and computational game theory to address this gap. Fellows will contribute to advancing the next generation of models, algorithms, and system architectures for autonomous systems, multi