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state-of-the-art experimental and computational models for solving water resource problems worldwide. CHL research and development addresses water resource and navigation challenges in a variety of
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optimisation, computational modelling, operational research or quantitative decision analysis, together with the ability to formulate complex real-world engineering or operational problems as tractable
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of a mentor, you will implement two-stage meta-analytic models and weighted least squares correlation methods to estimate the surrogacy strength of CGM-derived metrics (e.g., Time in Range (TIR
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. Collaborating with scholars from computer science and statistics to support the multidisciplinary research of economic world models. Promoting the research on economic world models in the world-leading finance
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, and new approaches to treating infectious diseases using complementary in vitro and in vivo infection models. The Gamble Laboratory has expertise in synthetic, bioorganic, and medicinal chemistry, with
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | about 23 hours ago
, analytical chemistry, bioequivalence, computational fluid dynamics, and physiologically based pharmacokinetic modeling. You will also have opportunities to analyze and communicate research findings through
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the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The University of Coimbra opens a call for the
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learning, and computational modelling. The doctoral candidate will investigate how pressure differences can be calculated directly from magnetic resonance imaging (MRI) and ultrasound data, reducing the need
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with the overall programme. This implies perform and support in vivo work using HCC models induced via hydrodynamic gene transfer. You will be selecting and adapting experimental protocols, analysing and
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computing environments and GPU computing. Proven experience in weather and climate models development and applications. Experience in machine learning, deep learning, or AI applications for atmospheric