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Field
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environment. Technical Proficiency: Skilled in using office software, technology, and relevant computer applications. Communication: Strong and clear written and verbal communication skills for interacting with
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primarily research on Reinforcement Learning, and/or Optimal Control, and/or Model Predictive Control. RISC invites qualified applicants in the areas of electrical, computer, or mechanical engineering, or
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of computer-aided tools for chemical and biochemical product and process modeling, process synthesis, design, analysis and operation. The tools are applied in the chemical, petrochemical, pharmaceutical
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computational social scientist or a computer/data scientist eager to transition into the social sciences. The position does not require teaching, but it may be possible to get teaching experience for compensation
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the following with or without a reasonable accommodation: 1. Work on a computer for extended periods 2. Move about in various locations on and off campus as needed to complete day-to-day work 3. Effectively
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Science (EEMCS) uses mathematics, electronics and computer technology to contribute to the development of Information and Communication Technology (ICT). With ICT present in almost every device and product we use
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Engineering Department 140401 - Electrical & Computer Engr. Job City & State Raleigh, NC-27606
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Science (EEMCS) uses mathematics, electronics and computer technology to contribute to the development of Information and Communication Technology (ICT). With ICT present in almost every device and product we use
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Extensive knowledge of Microsoft Excel and good computer programming skills Knowledge of techno-economic analysis and life cycle analysis Experience working with Argonne’s EverBatt model, GREET model, and
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Qualification requirements PhD or equivalent academic qualifications with a specialization in computational musicology, computer/data science, informatics, sound and music computing, or other related field