104 engineering-computation "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" uni jobs at University of Vienna
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who see university teaching as an interesting and challenging career field. Requirements for application are: Completed Master's/Diploma or Teacher Training Programme in Slavonic Studies Several years
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personality: Degree in chemistry education Completed doctoral program in chemistry education Experience in the field of chemistry education research Knowledge and skills especially in quantitative, but also
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areas. Your future tasks: Successful candidates will actively participate in the training of archivists, further develop the training program in consultation with the archives, coordinate external
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in student supervision This is part of your personality: Doctoral/Ph.D. program (must be completed by the time of employment) Subject-specific expertise Methodological competencies Didactic skills
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Education and is part of the doctoral program "Educational Innovation Needs Educational Research." As a University Assistant Praedoc, you will join the research team led by Assoc. Prof. Marko-Lüftenegger
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Education and is part of the doctoral program "Educational Innovation Needs Educational Research." As a University Assistant Praedoc, you will join the research team led by Prof. Susanne Schwab (Chair
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for a prospective doctoral project proposal (max. X p.) With a confirmation of enrolment in the doctoral programme/having passed the FÖP Via our job portal/ Apply now - button If you have any questions
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, spintronics, millikelvin-temperature quantum magnonics, unconventional computing, and nonlinear spin-wave phenomena in nanoscale hybrid systems. The group is directed by Univ.-Prof. Dr. Andrii Chumak. We
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reports, and the ECTS transcript of your doctoral programme. With a letter of support from your supervisor, providing an candid assessment of your dissertation's status and an accurate timeframe for its
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to the department Ph.D. program and will work on the development and analysis of statistical methods for machine learning, particularly in the context of high-dimensional models and with a particular focus on methods