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team. Learn more about the innovative work led by Dr. Don Ingber here: https://wyss.harvard.edu/technology/human-organs-on-chips/ . What you’ll do: Design, fabricate, characterize, and optimize
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Together, these research directions seek to reimagine how buildings and cities operate—optimizing energy use, enhancing human well-being, and reducing carbon emissions at scale. We are seeking multiple
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or mental health • Diversity and multicultural issues in sports • Organizational and systemic evaluations related to the optimal delivery of sports interventions through an interdisciplinary lens
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Postdoctoral Fellow - Materials Chemistry, Texas Materials Institute, Cockrell School of Engineering
at the intersection of robotic synthesis, AI-guided materials discovery, and rapid characterization to enable efficient screening and optimization of functional materials. The Postdoctoral Fellow will collaborate with
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. Research areas include Representation Learning, Machine learning and Optimization on graphs and manifolds, as well as applications of geometric methods in the Sciences. This is a one-year position with
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 23 hours ago
cellular immunotherapies to improve patient outcome and quality of life. Kevin Frankowski, Ph.D. The Frankowski lab focuses on medicinal and synthetic organic chemistry for hit-to-lead optimization of small
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bioinformatics efforts to identify and validate biomarkers for brain tumors using high-throughput sequencing technologies. • Develop, optimize, and manage bioinformatics pipelines for processing and analyzing
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challenge when we attempt to optimize manufacturing processes, introduce new materials, or enhance efficiency. While artificial intelligence (AI) has shown great promise in helping us identify patterns, make
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through scientific excellence. Research Project: The overall research goal of the lab is to develop, improve, optimize, and disseminate aflatoxin biocontrol technologies to growers. This is accomplished
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appointment). Strong background in statistical or machine learning methodology, optimization, or high-dimensional data analysis. Proficiency in R or Python; experience with deep learning, causal inference