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Field
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Do you want to contribute to the future of AI-driven electric transport systems? Join our research group to develop advanced machine learning methods for electromobility, focusing on energy-aware
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of work: We combine a unique methodology of recording the activity of single neurons in humans with advanced analytical approaches, such as machine learning and multidimensional analyses, to better
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experience working safely with dangerous materials. Overview Statement Posting Details Special Instructions to Applicants Quick Link to Posting https://jobs.rutgers.edu/postings/279384 Campus Rutgers
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) Life and Disability Insurance Paid Time Off: 20 days of vacation per calendar year, 12 days of personal/sick time Paid Holidays and Special Days Off: https://www.bowdoin.edu/hr/our-workplace/college
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programming languages is required, and experience with the current ATLAS software, computing and particularly the tracking software would be particularly desirable. Experience with machine learning and
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Electrical Engineering, Computer Engineering, Computer Science, or related field. Strong background in digital communications / signal processing (e.g., modulation/coding/synchronization; performance
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Influenza for the current Flu Season, unless the University has granted the individual a medical or religious exemption. Additional infection control and safety policies may apply. Prospective employees
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hold a PhD in computer science or mathematics, with computer algebra as a specialty. Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR7161-GOVVAN-019/Default.aspx Work Location(s
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In polymeric materials, a fundamental transition is required from synthesis out of fossil-based and one time use to continuous reuse of polymeric products. Current recycling methods cannot recover
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., PM2.5, NO2, and SO2) over the United Sates for electric utility air permitting. The postdoc will also have the opportunity to work on other topics related to air quality modeling, remote sensing, and