2,356 machine-learning "https:" "https:" "https:" "UCL" "UCL" Postdoctoral positions in United States
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pregnancy related conditions), sexual orientation, or military status. Duke aspires to create a community built on collaboration, innovation, creativity, and belonging. Our collective success depends
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statement of their background and interests and contact information only for at least three references to AcademicJobsOnline.org https://academicjobsonline.org/ajo/jobs/31488 . We will begin to review
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. Additional background in renewable energy, surface science, catalysis, and/or machine learning. Strong programming skills in Python and some exposure to machine learning. Ph.D. in Materials Science, Physics
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us at https://newcollege.asu.edu/ . New College is located on ASU’s West Valley campus, blending a liberal arts education with 21st-century workforce preparation and a learning hub for students of all
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at the intersection of educational data science, AI in education, and the learning sciences, with additional advisory support from faculty and researchers across learning sciences, computer science, machine learning
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and extension center in Twin Falls, plus Extension offices in 42 counties. One of the nation’s land-grant research universities, U of I is a noted national leader in student-centered learning and
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supports the research mission of the department and university. Posting Details Special Instructions to Applicants Quick Link to Posting https://jobs.rutgers.edu/postings/269386 Campus Rutgers University-New
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to efficiently collect/organize/analyze data and initiate new/modified procedures/techniques based on the latest developments are expected. Certificates/Credentials/Licenses n/a Computer Skills General office
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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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learning. Job responsibilities will include: Develop simulation algorithms and software to model challenging gas adsorption behavior in porous materials Develop novel machine learning model for predicting