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-doctoral research position under the supervision of Dr. Chris Smith Home | Chris Smith . Our lab studies spatial population genetics, using simulation-based inference and machine learning to infer
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, and integrated imaging-therapy platforms Translational immunotherapy — combining ultrasound priming with CAR T and other cellular therapies for solid tumors What We Offer Competitive NIH-scale salary
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knowledge-grounded reasoning with flexible machine learning Tools that reduce manual burden while preserving traceability and clinical interpretability This position offers the opportunity to publish novel
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applications for a post-doctoral research position under the supervision of Dr. Chris Smith Home | Chris Smith . The lab— in the Evolution, Ecology, and Behavior section—investigates machine learning approaches
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communication skills. Preferred Genome-wide association studies (GWAS) Statistical genetics and polygenic scores Single-cell RNA-seq, proteomics, or other multi-omics analyses Artificial intelligence and machine
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Experience in one or more of the following areas is preferred: Statistical genetics Human genetics Population genetics Evolutionary genetics Bayesian statistics Machine learning Large-scale genomic data
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airport, being named “Best Airport in North America” by Airports Council International for many years. Information about the Department of Anatomy, Cell Biology & Physiology is available at: https
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by Dr. Tim Pleskac (cognitive and decision modeling) and Dr. David Crandall (computer vision and AI). The postdoc will lead the development, integration, and testing of computational models of decision
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scientists, biomedical informaticians, clinicians, and public health researchers to develop deployable, trustworthy methods that improve patient outcomes and health system operations. Key responsibilities
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facilities include a low-energy neutron source (LENS) available for neutron detector development and testing, high-bay facilities for large-scale fabrication, professional and student machine shops, a