155 computer-programmer-"https:"-"U"-"UCL"-"https:"-"https:"-"https:"-"https:"-"https:" positions in Austria
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transdisciplinary teaching and research program. Candidates should have a proven track record in both theory and empirical research in the field of development studies. Experience, particularly in qualitative social
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scientific CV Letter of motivation including potential research interests and a once-page description of the envisaged topic for the PhD project Notification of completed Master's/Diploma programme (degree
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Motivation (Academic) Curriculum vitae Final Degree certificates (Certificate of completed diploma or master's degree programme) List of publications (if available) evidence of teaching experience
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be enrolled on the Doctoral Programme in Pharmacy at the University of Vienna. Recipients will be employed as university assistants predoctoral at the Department of Pharmaceutical Sciences. At the time
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scientific CV Letter of motivation including potential research interests and a once-page description of the envisaged topic for the PhD project Notification of completed Master's/Diploma programme (degree
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transdisciplinary teaching and research program. Candidates should have a proven track record in both theory and empirical research in the field of development studies. Experience, particularly in qualitative social
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challenges of the next generation. Your workplace: The History Study Programme Management team at the Faculty of History and Cultural Studies offers two bachelor's and six master's programmes (approx. 5,000
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enrolled on the Doctoral Programme in Pharmacy at the University of Vienna. Recipients will be employed as university assistants predoctoral at the Department of Pharmaceutical Sciences. At the time of
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, particularly in the compulsory and elective subjects of the curriculum in the field of Roman law - either in the German-language diploma programme or in the English-language programme in International Law
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and flexibility. We cover the whole data processing chain including image capture, image processing/computer vision and image content analysis with traditional and modern machine learning/AI methods