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modeling, causal inference, or deep learning is a plus Excellent communication skills and enthusiasm for collaborative, interdisciplinary research The Garber Lab is part of a vibrant computational and
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AI, human-AI collaboration systems, computer vision (CV) models, and natural language processing (NLP) models. Candidates with expertise in any of these areas are encouraged to apply, as the position
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neuroinflammation and neurovascular interactions using mouse models and micro physiological systems. Some of these scientific questions span into characterizing molecular changes in the blood-brain barrier, glia
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computational models of the immune response for multi-scale epidemic models. This position offers an excellent opportunity for recent graduates interested in applying quantitative and computational methods
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block within this process. You will be embedded both within an experimental and computational team, providing a unique atmosphere where there is expertise to develop the deep-learning models while having
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summative evaluation plans and construct comprehensive logic models that capture program activities and outcomes. · Design evaluation procedures/protocols and develop data collection/survey
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on developing advanced machine learning models to quantify phenotypic traits of crops, including corn, soybean, and other selected species. These models will leverage data collected from various sources, such as
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partners. Through national and international collaboration, conference participation, and publication in peer-reviewed journals, you will build a strong scientific profile. The program is highly research
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statistical analyses on large databases Designing and running experiments Structural modelling and related econometrics Proving theoretical results Basic Qualifications Bachelor’s degree by start date (required
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by PI Dr. Jessica Hsu (starting January 2026), is seeking highly motivated and creative postdoctoral fellows to join a research program that integrates molecular imaging and nanomedicine, leveraging