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Field
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publications or notes. Knowledge, Skills and Abilities: General understanding of legal research methods. General computer skills and ability to quickly learn and master computer programs. Ability to work under
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electrical engineering, computer science, computer engineering, social science or any other related fields. A strong track record of high-quality research in formal method based robotic operational
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computer simulations Test the methods via lab experiments Publish results in top-tier journals in related fields Assist in mentoring PhD students Job Requirements: A PhD degree in control systems engineering
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at Northeastern. (10%) Required Qualifications: - Ph.D. in Human-Computer Interaction, Information Science, Computer Science, Design, or related fields - Strong record of published research in HCI, CSCW, DIS
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of early career researchers, supervised by senior experts, collaborating across disciplines to tackle fundamental challenges through innovative methods, theory and critical analysis. The fellowship
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knowledge of IRT models, a basic understanding of common estimation methods, and strong programming skills in R, Python, or another relevant computing language. Experience with machine learning methods is a
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for the manufacture of computer chips. The project is supported by the Australian Research Council Linkage Project “Innovative Double Patterning Strategies for Integrated Circuit Manufacture” and is within
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have a PhD in Physics or Astronomy with a strong research background in: Observational astrophysics with neutrino and/or gamma-ray telescopes Statistical methods and data analysis. Computer programming
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The Computer Vision-Core Artificial Intelligence Research (Vision-CAIR ) group led by Prof. Mohamed Elhoseiny at the CS Program of the King Abdullah University of Science and Technology (KAUST) is
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computer skills Physical Demands Must be able to sit for extended periods of time and work in standard office environment Must be able to occasionally lift 20 pounds Must be able to work occasional weekends