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. This is primarily for an NIH-funded project developing multimodal variational autoencoder models and probabilistic trajectory analyses for latent spaces formed from neural, genetic, and behavioral data
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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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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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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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underlying aortic aneurysm and valve disease. Utilizing a variety of approaches including stem cell biology, gene editing, bioengineered human vascular grafts and animal model studies, we aim to gain
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well as in a collaborative, team-oriented environment. Preferred Qualifications: Prior experience working with mouse models of cancer is strongly preferred; candidates without prior experience will be
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of the promotoras model of leadership. • Fluent communication in both English and Spanish. Equipment Use of personal computer and proficiency in software and research statistical applications. Working Conditions
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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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We are seeking creative and energetic candidates with strong experience in multimodal machine learning and human behavior analysis and modeling for a one-year Postdoctoral position. Using recent
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, 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