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Apply Now Job ID JR101409Date posted 09/13/2024 The AI and Machine Learning Department at Brookhaven National Laboratory (BNL) invites exceptional candidates to apply for a post-doctoral research
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skills. Ideal applicants will also have experience with some combination of: a) Machine learning e) code optimization and software delivery f) big data visualization g) cloud computing h) web application
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computing, and parallel programming paradigms Strong publication record in reputable avenues Strong writing skills Strong skills in model development, data analytics, machine learning, and visualization
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writing skills Skills and abilities: This will vary based on the hiring manager’s preferences and should include things that can be learned or trained for. Specifications Minimum Required Education: PhD in
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systems, machine learning, and control theory. Experimentally validating these methods through field experiments. In addition to conducting research, the Postdoctoral Scholar will collaborate closely with
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the Fellowship start date of August 29, 2025. Recent PhDs from any discipline (including but not limited to Africana studies, anthropology, Asian studies, business administration, comparative literature
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analytics, and machine learning, the Grid Interactive Controls group delves deeply into understanding intricate grid-edge operations. Researchers are dedicated to laying the groundwork for optimal X2G
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
of patient care, education, and research. We strive to promote faculty, staff, and learner development in a diverse, respectful environment where our colleagues demonstrate professionalism, enhance learning
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
emphasis on remote sensing. 2. Experience of using multiple sources of remotely sensed data, particularly optical, Lidar, and Radar data. 3. Sound statistical skills and use of Machine Learning/Geospatial AI
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Qualifications: A PhD in Mechanical Engineering required; successful PhD thesis defense with pending graduation will be considered Experience with theoretical modelling and data analysis using Machine Learning is