78 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" "Univ" positions
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preferred Excellent knowledge of microeconometric methods for causal inference; knowledge of machine learning methods is preferred Experience in university teaching Strong communication and teamwork skills
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, DeepFields (using drones, airborne optical sectioning (AOS) -a unique synthetic aperture sensing technique developed by JKU-, and machine learning for harvest and damage estimation in agriculture), in
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Posting Summary Logo Posting Number STA00189PO26 Job Family Academic and Career Counseling Job Function Academic Advising USC Market Title Academic Advisor Link to USC Market Title https
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Position Details Position Information Department Univ Human Resources Central (XHR) Position Title Consultant-Benefits Job Title Benefits Specialist Appointment Type Professional Faculty Job
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plasticity platform. Different machine learning strategies will be explored to capture the complex relationships between microstructural features and mechanical responses. In particular, the project will
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land- and sea-grant research university, located in Kingston, Rhode Island, a beautiful seaside community well connected by car, bus, and rail. URI is approximately 40 minutes from Providence, an hour
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leave and retirement programs. To learn more about USC benefits, access the "Working at USC" section on the Applicant Portal at https://uscjobs.sc.edu. Position Description Advertised Job Summary The
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Architecture to start in Fall 2026. URI is the State’s flagship land- and sea-grant research university, located in Kingston, Rhode Island, a beautiful seaside community well connected by car, bus, and rail. URI
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plasticity platform. Different machine learning strategies will be explored to capture the complex relationships between microstructural features and mechanical responses. In particular, the project will
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to the development of state-of-the-art AI approaches applied to land surface monitoring, particularly using satellite observations. These approaches may include machine learning and deep learning methods