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on high-fidelity modelling and test data for both metals and thermo-set composite materials. To achieve this we will explore the use of advanced genetic algorithms and/or Artificial Intelligence (AI
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develop cutting-edge algorithms and AI-based solutions for data processing and validation and provide scientific expertise for the implementation of future remote sensing missions. The team’s work bridges
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Associate on the track of Smart Integrative Energy Systems will participate in the research efforts of developing systems integration, analysis, design, control, and/or optimization models and algorithms
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new AI algorithms for science. Our group also welcomes new research directions, and collaboration across different groups at the laboratory and beyond. We publish in peer-reviewed journals and
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
tools to compare different types of air quality measurements in different data formats. The overall scope of this position is to develop software systems that help better understand localized air
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requirements: Experience using deep-learning algorithms. In-depth knowledge of Python and PyTorch. Previous experience collaborating on scientific projects. Publications on deep-learning topics. 4. Work Plan
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be duly proven at the time of hiring. 2; 3. Preferred requirements: Experience using Machine Learning algorithms. In-depth knowledge of Python and PyTorch. Previous experience collaborating
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different educational and technical backgrounds, including asynchronous summer review modules, a three-week, in-person programming boot camp, and a fall level-up for students with less experience with
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 1 hour ago
the LabVIEW programs and Python algorithms that run those systems. Develop, review, and update standard operating procedures for Chase Lab equipment and facilities. Develop effective policies for shared use
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algorithms are creating new opportunities for Duke students and faculty, working together in multidisciplinary teams, to actively engage with and to change the world around them. These emerging areas, in turn