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. The researcher will work with Dr. Natalia Vélez on an on-going research project examining how children incorporate different preferences and perspectives to make collaborative decisions. Responsibilities will
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://www.ucop.edu/academic-personnel-programs/_files/2025-26/represented-oct-2025-scales/t23.pdf . A reasonable estimate for this position is $69,073-$77,030 annually. Percent time: 100% Position duration: 2 years
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 10 hours ago
/or machine learning/artificial intelligence algorithms. Projects may also include work focused on the analysis of spatial and geographic data and work extrapolating results to different spatial scales
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Kong Polytechnic University (HKPU), funded by Hong Kong’s InnoHK programme. Together, we are exploring how artificial intelligence and design can tackle some of the most pressing challenges of the 21st
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rates and conversion efficiencies for different redox chemistries tested in proof-of-concept setup. Address and solve technical challenges related to upscaling of the technology Dissemination of results
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Lomet, Research Engineer in AI at LIAD, CEA Saclay · Marianne Clausel (University of Lorraine), scientific lead of the national PEPR causali-t-ai program, · Myriam Tami, Associate Professor
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, development, and execution of computer simulations of system related to different replication stages of the HIV virus. Preference will be given to applications with expertise in 1) protein dynamics; 2
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results. Machine Learning skills to automise comparison process. Unbiased approach to different theoretical models. Experience in HPC system usage and parallel/distributed computing. Knowledge in GPU-based
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Sciences at Texas A&M University Texas A&M Forest Service Texas A&M Veterinary Medical Diagnostic Laboratory As the nation’s largest most comprehensive agriculture program, Texas A&M AgriLife brings together
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biophysicist familiar with the laser trap and in vitro motility assays. These skills will be used to characterize the single molecule and mini-ensemble properties of three different classes of myosin: muscle