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offers an exciting opportunity to collaborate with NTEC’s internationally recognised academic team on various projects focused on the development, design, and modeling of future paving materials
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assist the project leader in the research project – “Smart Holistic Insurance Enhancement using Learning Algorithms & Dialog Data (S.H.I.E.L.D.)”. They will be required to: (a) develop machine learning
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | about 8 hours ago
developing comprehensive databases to systematically evaluate the current landscape of in vitro data utilization in drug development. This research will contribute to the development of innovative
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economic impacts across the project and developing a common understanding of the requirements for quantifying inputs and outputs from all steps within ReLiB processes. This momentum will continue to drive
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funded grant applications to ensure robust trial commencement. This will include working with the Chief Investigator and co-applicants to develop a protocol and related trial documentation, ensuring
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plant production techniques. Alongside identifying and validating propagation techniques and peat-free alternatives, we will develop new AI search tools and explore cultural shifts in horticulture
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GME meetings and other conferences as appropriate to stay up to date on the latest changes in program requirements. Organize and prepare accurate documentation of program compliance with ACGME, UF GME
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required to develop and demonstrate single-photon light detection and ranging (LiDAR) systems by integrating in‑house single‑photon detectors. The role will assess various LiDAR configurations, optimize
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environmental mass spectrometry and/or environmental microbiology, to join the QAEHS Environmental Toxicology Theme led by Professor Kevin Thomas. This team, working alongside industry partners, works to develop
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | about 8 hours ago
under abbreviated new drug applications (ANDAs) and NDAs. The project will identify and develop in vitro, in vivo, or in silico techniques that may be capable of determining how various complexity factors