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for three references – https://unmc.peopleadmin.com/postings/95260 . Required Qualifications: Ph.D. or equivalent degree in Medical Physics, Physics, Biomedical Engineering, Computer Science, Applied
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Qualifications: • Experience creating customized MRI acquisition methods • Experience in quantitative MRI techniques • Programming skills in MATLAB and Python • Ability to present research effectively through both
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of Large Language Models Time-Series Data Prediction and Modeling Intelligent Decision-Making and Optimization Algorithms Strong programming skills (proficient in Python, PyTorch/TensorFlow, etc.). Strong
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dependent educational benefits Life insurance coverage Employee discounts programs For detailed information on benefits and eligibility, please visit: http://uhr.rutgers.edu/benefits/benefits-overview
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Infrastructure? No Offer Description The Centre for Lithospheric Research (https://clr.geology.cz/ ) was established in 2012 within the Czech Geological Survey on the basis of an initiative by the Czech government
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, autonomous systems and software for the benefit of Swedish society and industry. Read more: https://wasp-sweden.org/ The graduate school within WASP is dedicated to provide the skills needed to analyze
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: Financement public/privé IMT - Futur, Ruptures, Impacts 2026 PHD title: Doctorat en Mécnique et Génie Civil PHD Country: France Where to apply Website https://www.abg.asso.fr/fr/candidatOffres/show/id_offre
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programming language, such as R or Python Experience with atmospheric circulation classifications Active knowledge of the English language Specific Requirements Job description: Development of a methodology for
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 28 days ago
detectors and particle accelerators. Applicants should be highly motivated to work in a cross-disciplinary environment on R&D and engineering activities. The full job description is here: https://web.mit.edu
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advance interoperability for single-cell and spatial omics across the scverse (Python) and Bioconductor (R) ecosystems. The project focuses on enhancing the FAIR capabilities of SpatialData , a modern