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Field
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research environment, with a potential to work with a Quantum Computer through our collaboration partners. The Center possesses the unique possibility to investigate cutting-edge interdisciplinary questions
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computational experiments designed by mathematicians on the team • Interface with mathematicians and applied computer scientists to demonstrate the viability of novel neural networks on challenging benchmark
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 20 hours ago
from extreme weather to pandemics to cyberattacks. - Applicants must have significant computer coding skills, e.g., Python, R - Excellent written, oral, and interpersonal communication skills. Preferred
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undergraduate students. Postdocs can benefit from strong collaborations with applied mathematicians, computer scientists, device physicists, materials scientists, and statisticians; they will also have access
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of the appointment through the ORISE appointment letter and Terms of Appointment. Additional Information For more information on the DOE Scholars Program, visit https://orise.orau.gov/doescholars or contact us at
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, experimental data bases and materials data bases together with novel AI tools. Where to apply Website https://auspire.eu/research-team/icn2-pf1-call-2/ Requirements Research FieldChemistryEducation LevelPhD
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if the position has not yet been filled. Position description Professor Shiva Abbaszadeh in the Department of Electrical and Computer Engineering (ECE) at the University of California, Santa Cruz (UCSC) invites
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their strategies. Do you want to know more about LIST? Check our website: https://www.list.lu/ How will you contribute? You will be part of LIST’s Remote sensing and natural resources modelling group Embedded in
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https://ppi.uib.cat/ Requirements Research FieldEngineering » Computer engineeringEducation LevelPhD or equivalent Skills/Qualifications A PhD Degree in Engineering or Mathematics. Specific Requirements
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at the intersection of active transportation safety and AI (e.g., near-miss detection, predictive crash risk, multimodal exposure estimation). · Design, implement, and validate AI pipelines (computer vision