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a PhD or MD-PhD, with expertise in molecular/cellular biology, bioinformatics, biochemistry, or immunology and may have expertise in cell-based and/or animal models. Preference will also be given
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the liver microenvironment. Experiments will utilize animal models, cell culture including induced pluripotent stem cells, and human patient samples. Required Qualifications: Applicants should hold a PhD
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systems. Includes establishing medical reasoning benchmarks and automated / scalable evaluation methods. Developing recommender algorithms to predict specialty care with large-language model based user
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undergraduate course. The Fellow may not undertake any other sustained employment for the duration of their postdoctoral appointment. Applicants must have earned their PhD within the past 3 years. Advanced
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-practice partnerships in community settings or developing curricula or interventions but lack rigorous quantitative evaluation methods training. Or if you have demonstrated disciplinary knowledge and a
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at scientific conferences. Required Qualifications: Education: Required: PhD or MD (or equivalent experience) in medical sciences, molecular biology, cell biology, or related field. Work Experience: Required
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radiolabeling of the resulting constructs. The fellow will conduct interdisciplinary research to develop unique translational therapeutics or methods to quantify the imaging data. Our federally-funded team is
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competitive funding if interested. Maintain meticulous research records and support operational/reporting responsibilities associated with clinical research. Required Qualifications: A PhD in computational
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quantitative field. We will consider candidates with a PhD in psychology or related disciplines who have a strong technical background in neuroimaging methods, as well as candidates with a PhD in MR-related
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., diffusion transformers, multimodal representation learning) for modeling high-dimensional biological images. Develop computational methods to reconstruct and simulate 3D tissue architecture and dynamics