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time. Part-time faculty serve in a remote capacity at the University. This position is for the designated college and will report to the Faculty Manager. Part-time faculty teach courses that may begin
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time. Part-time faculty serve in a remote capacity at the University. This position is for the designated college and will report to the Faculty Manager. Part-time faculty teach courses that may begin
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Differential Imaging (CDI) to exploit the fundamental property of light coherence. The PhD will focus on two complementary approaches: 1) Enhancing CDI with machine learning: improve this technique using
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mathematics (diploma or master's degree) German language skills, if not first language: C1 Good computer skills Desired: PhD-theses in mathematics education Desired: Professional experience in teaching
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of our existing data infrastructure. This can include web applications, APIs, machine learning tools, and image processing pipelines. Utilise good software development practices such as CI/CD, writing
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candidates who can evidence their experience with as many of the following areas as possible, preferably at least two: Interdisciplinary mathematical modelling Machine learning and/or other quantitative
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-friendly university and a great place for veterans to earn their degrees. The Thomas Harriot College of Arts and Sciences (https://thcas.ecu.edu ) is home to 15 academic departments, several
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Austrian Academy of Sciences, the Institute for the Cultural and Intellectual History of Asia (IKGA) | Austria | 10 days ago
anthropology Cultural studies » Asian studies Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 28 May 2026 - 23:55 (Europe/Brussels) Country Austria Type of Contract
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Composition, or a related field is required. The successful candidate will teach four courses per semester, which may include, in addition to developmental writing courses and courses in the University’s Core
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-Powered Q&A Systems for Multimedia, 2024, p. 36-43. [6] A. F. Wise, S. Knight, et S. B. Shum, « Collaborative Learning Analytics », in International Handbook of Computer-Supported Collaborative Learning, U