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technologies, behavioral research, and AI‑driven modeling. This unique combination enables us to predict how individuals respond to specific foods and intervention techniques and to develop personalized
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projects into licensing opportunities and venture formation. Increased venture formation with strong founder teams and validated business models. Improved venture-stage commercialization cycle time and speed
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growing portfolio of maturing technologies. With the continued expansion of the regional innovation ecosystem and numerous technology-driven companies in Northern Virginia, the University is advancing its
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health insurance, retirement plans, and paid time off. To access this tool and learn more about the total value of your benefits, please click on the following link: https://resources.uta.edu/hr/services
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, the AI Generalist, and CUIT technical partners, this role will translate requirements into scalable technical solutions using programming, machine learning, large language models, prompt engineering, data
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of experimental protocols, software pipelines, and laboratory procedures • Contribute to data-driven approaches for predictive colloid science, including experimental design, data analysis, modelling, and machine
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sensing, AI-based methods and data-driven hydrological models, as well as experience in operationalising real-time hydrological systems and programming in, for example, Python. In addition, you are expected
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student-scholarship holder at the Poznan Doctoral School of Institutes of Polish Academy of Sciences
of Sciences in Poznań receives funding from the OPUS LAP 30 (2025/59/I/NZ2/02573) titled “Hypoxia-Driven Metastatic Potential in NSCLC: Multi-Modal Transcriptomic Profiling in 3D and Orthotopic Models” to fund
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in AI-driven materials discovery, machine learning applications for materials, or generative AI related to materials. The successful candidate will independently lead a project focused on developing
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within the new Warnock Engineering Building on the University of Utah campus. We are a highly dynamic, driven group of over 170 faculty, staff, and students. The overarching goals of the SCI Institute’s