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Chemistry to conduct fundamental and applied research at the intersection of machine learning and computational chemistry. In this role, you will develop physics-informed, symmetry-aware models
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Bio Process Development Unit (ABPDU ). In this exciting role, you will develop AI-driven predictive metabolic models of cell physiology, metabolism, and functional behavior. You will have the
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Johns Hopkins Medicine - Laboratory of Human Biomimetics | Saint Petersburg, Florida | United States | about 1 month ago
systems, fluidics, engineering, and computational modeling. A major focus is a newly funded NIH R01 investigating pediatric graft-versus-host disease through integrated intestinal, hepatic, immune, and
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surveillance during early colorectal tumorigenesis. • Generate and manipulate human and mouse colorectal adenoma cells and organoid models. • Use CRISPR/Cas9, inducible gene-expression systems, miRNA inhibitors
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infection models to identify and characterize compounds active against these priority pathogens. Main duties and responsibilities Design and build a microscopy-based phenotypic screening pipeline (live
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innovative models to improve farm performance and decision-making Drive impactful research that shapes the future of Australian agriculture About CSIRO As Australia's national science agency, CSIRO is solving
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09.09.2026 Application deadline : 31.10.2026 Postdoctoral Research Fellow in Computational Modeling of Digital Education Data (100%, E 13 TV-L, 3 years + possible extension, m/f/d) We seek a bright
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an excellent team player. A high commitment to safety. Ability to model Argonne’s Core Values: Impact, Safety, Respect, Integrity, and Teamwork. This position requires an on-site presence at the Argonne campus
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organized notebooks and project files. Proven ability to be an excellent team player. A high commitment to safety. Ability to model Argonne’s Core Values: Impact, Safety, Respect, Integrity, and Teamwork
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-particle physics, predictive modeling, and AI-enabled digital twins for magnetically confined fusion plasmas in tokamaks. The research will combine high-fidelity simulations, reduced transport modeling