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: 10.1101/2025.09.08.674950), and AI/machine learning. We work closely with clinicians to translate our findings into clinical practice, focusing on genomically complex sarcomas and haematological
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sciences » Philology Chemistry » Physical chemistry Environmental science » Earth science Computer science » Computer systems Computer science » Computer systems Computer science » Computer systems Computer
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between behavioral and computer scientists. The ideal candidate has some knowledge in both areas, and the specific behavioral domain is open to discussion. Project B – Understanding and Countering
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for additional teaching. The Department of Religious Studies has five full-time faculty and a history of innovative teaching and the promotion of independent learning. The Department's website is http
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animals and humans, contacts with the environment are not avoided and sometimes even actively sought. We will deploy this inspiration from biology to design truly robust machines with distributed control
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The University of North Carolina at Charlotte | Charlotte, North Carolina | United States | 1 day ago
: Mechatronics and robotics Design-build and project-based courses Computer-aided and AI-enabled design Mechanics and thermofluids Successful candidates will play a central role in the department's undergraduate
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position within a Research Infrastructure? No Offer Description Research Assistant wanted! Join research on forest and peatland biodiversity and restoration. Work with remote sensing data, machine learning
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California State University, San Bernardino | San Bernardino, California | United States | about 5 hours ago
, such as but not limited to payroll, returned warrants, stale dated checks, dunning letters, payment agreements, and Google Docs. - Other duties as assigned. Minimum Qualifications: Ability to learn and
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be also encouraged to explore other research opportunities or collaborations within the group. Tools and techniques to be developed include but are not limited to MR pulse sequences, machine learning
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Professor level. The ideal candidate will be at the forefront of research that integrates modern machine learning methods with economic theory and econometric analysis. We are particularly interested in