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Field
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learning, motivation, and decision-making circuits. You will have strong quantitative and programming skills along with a track record of using computer programs to design experimental paradigms
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, Computer Science, Human-Computer Interaction, CSCW, or a related field. Experience conducting empirical research in software engineering or knowledge-intensive organizations. Strong competence in qualitative and/or
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problem-solving and organizational skills Certificates/Credentials/Licenses M.D. or PhD required The doctoral students should hold a degree in Bioinformatics, Computational Biology, Immunology, or a related
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QUALIFICATIONS: • PhD in Electrical and Computer Engineering, Mechanical Engineering, Physics, or a closely related field. • Demonstrated expertise in MEMS/NEMS design and modeling, including finite element
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techniques such as metadynamics, UFED, path sampling, milestoning methods; machine learning applications in chemistry and biophysics, good computer programming skills, and working knowledge of UNIX, phyton
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exceptional, computationally-minded researchers to help us invent what comes next and, if you are inventive enough, to shape your own direction. If you are a physicist, computer scientist, biologist, engineer
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Apply now Job no:535376 Work type:Faculty - Pro Tempore Location:Eugene, OR Categories:Instruction, Computer and Information Science, Data Science Department: CAS CIS Computer & Information
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, Naval or Aerospace Engineering. Is less than 5 years post receiving the Doctoral degree. First-author peer-reviewed published papers (and/or under review). Demonstrable research experience involving
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. Qualifications Applicants at Postdoctoral Researcher level should hold a PhD in AI enabled learning, educational technology, information systems, computer supported learning, social entrepreneurship, innovation
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mechanical engineering, material science, electrical engineering, computer engineering, computer science, data science, applied mathematics, or a closely related field Demonstrated experience with multimodal