847 structural-engineering "https:" "https:" "https:" "https:" "UCL" "UCL" Fellowship research jobs in United States
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Institute at City of Hope. You will work on projects investigating the new pathways and targets in diabetes/obesity and cancer. The lab uses genetically engineered mouse models and molecular pharmacology
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technologies, civil engineering, applied hydrology, geoscience, or a closely related field. Candidates will need to have completed their Ph.D. or have it completed by the start of employment. Applicants should
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Postdoctoral Fellow - (22000178) Postdoctoral Scientist - Neural circuits of emotion and decision making The Juarez Lab (https://www.thejuarezlab.com/ ) at the University of Maryland-Baltimore
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pursues disruptive qubit research, innovative workforce development programs, and deep, collaborative partnerships to tackle some of the hardest open problems in quantum information science and technology
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Apply Now Job Summary A clinical postdoctoral research fellow position is open in the newly formed Michigan Institute for Imaging Technology and Translation (MIITT) in the Department of Radiology
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on integrating data science, AI, and GIS with transportation engineering to create sustainable and efficient urban mobility systems. With a strong emphasis on data-driven decision-making, EcoTran Lab is
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engineers, and state-of the art facilities and equipment. Research Project: Our research aims to test microphysiological systems (MPS) for evaluating the exposure and therapeutic activity of anti-viral
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automation, computational drug design, machine learning, and software engineering. The ideal candidate will contribute to innovative research and the development of advanced computational tools within our lab
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, data science, civil engineering, or a related field, with research expertise in geospatial artificial intelligence, human dynamics, and/or urban informatics. Candidates will need to have completed
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Center for Drug Evaluation and Research (CDER) | Southern Md Facility, Maryland | United States | about 19 hours ago
high-volume data to prepare for modeling; Learn how to adjust model structures/parameters based on calibration data, and evaluate model credibility using validation data; Learn how to execute modeling