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competences on electrochemistry, atomic scale and multi-physics modelling, autonomous materials discovery, materials processing, and structural analyses. We also focus on educating engineering students at all
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, reliability, and stochastic simulation concepts with experience in wildfire modeling and loss assessment and regional planning of rural communities. The individual will contribute to the development of solution
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to support scholarship, including fluids, water resources, soils, environmental, and structural laboratories, computational research facilities along with the Stormwater Green Infrastructure Research and
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longitudinal modeling Advanced experience with programming languages and statistical software (e.g., R, Unix) Ability to manage and analyze large-scale, high-dimensional datasets Proven experience working
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committed to advancing equality and we aim to ensure that our culture is inclusive, and that our systems support flexible and family-friendly working, as recognized by our Juno Champion and Athena SWAN Silver
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research environment that fosters groundbreaking advancements across diverse disciplines. As Indiana’s land-grant university and a Carnegie Foundation tier-one research institution, Purdue combines a rich
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techniques and their impact on coronary vessels. 3D Model Generation: Use advanced AI techniques to generate 3D anatomical models of coronary vessels and other cardiovascular structures from imaging data
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, Fayetteville Founded in 1871, the University of Arkansas is a land grant institution, classified by the Carnegie Foundation among the nation’s top 2 percent of universities with the highest level of research
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are seeking a highly motivated Postdoctoral Research Fellow with expertise in large language models (LLMs) and electronic phenotyping to join our dynamic team focused on advancing cancer research through
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days ago
on ecosystem modeling. The remote sensing post-doc will be working on characterize forest canopy structure, including canopy height, tree crown size, leaf area index and aboveground biomass, using multiple