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emphasis on applied machine learning, artificial intelligence and experiential network addressing the business challenges in the industry. Instructional areas include, but are not limited to, analytics, with
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the broad landscape of computational science, including artificial intelligence, machine learning, deep learning, and their applications in addressing complex scientific and societal challenges, encompassing
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, lubrication and wetting, biophysics as well as machine learning or metamaterials. For experimentalists, we particularly interested in applicants aligned with our existing research infrastructure and
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are internationally recognized in research areas including power and energy systems; wireless and photonics systems, semiconductors, RF, and devices; AI and machine learning; advanced computing, cyber-physical systems
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. At Millersville University we are committed to fostering a learning and working environment that promotes diversity to foster a climate of inclusion. EPPIIC values and the principles of Inclusive Excellence
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techno-economic assessments is preferred, and knowledge of applied computational techniques and machine learning methods is a plus. Postdoctoral research experience is preferred but not essential. A
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of the candidate), in visualization and data analysis, cooperative systems, data mining and machine learning, education, didactics and entertainment computing, or Neuroinformatics. Across faculties, renowned
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Postdoc Associate (Interdisciplinary Humanities) Call for Applications (Cornell PhD candidates and recent Cornell PhDs) Eligible applicants for this search are Cornell University PhD candidates and
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The Vietnamese-German University (VGU) is seeking a highly qualified full-time lecturer in Cloud Computing and Data Analytics. Candidates must hold a PhD in this field or a closely related field and
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to the Faculty Council, Academic Senate and/or other bodies. Qualification Candidates must hold a PhD in Computer Sciences, Computer Engineering or a closely related field, preferably from a well-known