390 coding-"https:"-"Prof"-"FEMTO-ST" "https:" "https:" "https:" "https:" "U.S" PhD research jobs
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, econometrics or another relevant field. You will have substantial relevant research experience in complex trait genetics, a proven ability to code and a strong publication record. If no suitable applicant is
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on the U.S. energy sector. Our research seeks to inform public and private decision-making on issues such as electricity system planning, energy resources and delivery, new large loads, reliability
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here – https://utah.peopleadmin.com/postings/165250 The Division of Geriatrics is committed to fostering an inclusive and diverse research community. We believe that diversity in all its forms, including
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, secure, reliable, and cost-effective energy solutions. Our work helps strengthen U.S. industries, support job creation, and promote national economic growth. At NLR, you'll find a mission-driven
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on solving complex challenges to deliver advanced, secure, reliable, and cost-effective energy solutions. Our work helps strengthen U.S. industries, support job creation, and promote national economic growth
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About The University of Texas at El Paso: The University of Texas at El Paso (UTEP) is a Carnegie R1, opportunity, and community engaged university at the heart of the U.S.-Mexico border region
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considered illegal under federal law, regardless of state laws. For foreign national candidates: If you have not resided in the U.S. for three consecutive years, you are not eligible for the PIV credential and
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and deploy advanced deep learning and foundation models for surgical scene understanding segmentation, tracking, and operator assistance. You will write, test, and optimise Python and C++ code for real
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: Comprehensive personalised Assessment, early Risk Evaluation and clinical management” (HER-CARE) project. The successful applicant will work on the project “Assessing the role of rare germline non-coding genetic
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, national origin, age, sex, pregnancy, disability, genetic information, status as a U.S. veteran, service in the U.S. military, sexual orientation, gender identity, associational preferences, or any other