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, tumor immunology organotypic in-vitro models, genetically engineered animal models and human tissues from clinical trials. All these approaches are brought to bear on impactful questions in tumor
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that will be affiliated with one of six possible multidisciplinary projects. The ideal postdocs will have expertise in some of the following areas: computational modeling, computational biology, computational
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, evolutionary biology, computer science, physics, applied mathematics, or engineering. Our research integrates mathematical modeling, machine learning, and quantitative experiments to understand and control
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/benefits/benefits-overview . Posting Summary The Modeling Equitable and Accessible Spaces for Everyone (M-EASE) project in the Department of Psychology and Center for Cognitive Science is seeking a post
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. We look for researchers from diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography
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, Licensure/Other Credentials Preferred Qualifications Expertise in evolutionary genetics, including molecular evolution, population genetics, and/or theoretical modeling, Expertise in molecular biology and
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selected researchers will contribute to both experimental and modeling activities involving sorption and condensation technologies, solar thermal integration, and system optimization. Responsibilities will
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in vitro platforms and humanized mouse models Your Profile: Required qualifications: PhD in virology, immunology, or a related field Degree in life sciences, human medicine, or veterinary medicine In
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combining these tools with theoretical models, we aim to understand how the brain supports thoughts, emotions, and decisions—and how disruptions or biases in these processes impact mental health. CAHBIR
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validate polarizable force field models. Responsibilities will include both macroscopic property analysis (e.g., density, diffusion coefficients, ion conductivity, interfacial tension) and atomistic-level