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About the Opportunity Postdoctoral Associate – Gene Therapy and Transport Modeling Bajpayee Lab at Northeastern is seeking an exceptional Postdoctoral Associate to lead high-impact research in
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, machine learning, control theory, or stochastic modeling. Crucially, the ideal candidate must have a proven track record of viewing civil infrastructure through a holistic, interconnected “system of systems
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have good knowledge of: cell cultures and in vitro models; assessment of cytotoxicity and cell viability; assessment of oxidative stress and reactive oxygen species; cell biology techniques, as
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, Cincinnati Children’s, and the University of Cincinnati. This recruitment is part of an effort to further develop an integrated brain tumor research program connecting fundamental biology, disease modeling
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through the application of thermodynamic modelling using PHREEQC, a widely used geochemical simulation platform capable of representing complex chemical equilibria in porous materials. The project will
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: https://hr.uky.edu/employment/working-uk/equivalencies Required Related Experience No set minimum requirements. Required License/Registration/Certification None Physical Requirements Job-related travel
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) at Heriot-Watt University is an internationally recognised research group working at the interface of quantum photonics, condensed matter physics, and two-dimensional materials. The group comprises
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of artificial intelligence, world models, large language models, scientific AI, data ethics and privacy, data visualization, societal impacts of data and AI, data engineering, and scalable data and AI systems
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07.09.2026, Academic staff The lab for biopolymer materials (Prof. Dr. Lieleg) at the Technical University of Munich (Campus Garching) is looking for academic staff (f/m/d) to investigate
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 19 hours ago
that could eventually be used in the clinic. The Postdoctoral Research Associate will develop diagnostic and prognostic deep learning models for Alzheimer’s disease, using rich existing multimodal datasets