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-time instructor to teach courses on a variety of Music related topics. Qualifications PhD is preferred or equivalent professional experience. Previous teaching experience at the college level and a broad
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Code8010StreetLeonhardstrasse 15Geofield Contact State/Province Styria City 8010 Graz Website http://www.kug.ac.at Street Leonhardstraße 15 Postal Code 8010 E-Mail bewerbung-uprof@kug.ac.at Phone 03163890-1360 STATUS: EXPIRED X
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Website http://www.swansea.ac.uk Street Singleton Park Postal Code SA28PP E-Mail a.d.shaw@swansea.ac.uk STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options E-mail Pocket
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performing theoretical DFT calculations for solid-state systems and lattice dynamics calculations applying machine learning techniques to predict the solubility of pharmaceutical cocrystals supervising and
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political science professionals. More information can be found at https://politicalscience.ecu.edu . East Carolina University (https://www.ecu.edu ), a member of the 17-campus University of North Carolina
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candidates to teach at the introductory, intermediate, and advanced levels, in both classroom and laboratory settings. We are seeking candidates who can demonstrate their experience in teaching or working with
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of the institute as well as in the context of academic self-administration continuing education Social knowledge transfer (third mission) Your profile: Completed doctoral or PhD studies in sociology (or relevant
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/housing allowance and other subsidies. Further details on our package are available at: https://career.admo.um.edu.mo/learn-more/ . Application Procedure Applicants should visit https
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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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LiDAR data (GEDI and ICESat-2), and generate time series; e) Apply deep learning (DL), machine learning (ML), geospatial foundation models (e.g., AlphaEarth, TESSERA), statistical inference (uncertainty