135 programming-"IMPRS-ML"-"IMPRS-ML"-"IMPRS-ML" positions at University of Vienna in Austria
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17.11.2025 and can be extended for the duration of the employee´s absence. Your future tasks: Active participation in research, teaching & administration, which means: You plan and conduct your own research
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for the detection of misinformation including AI methods and their application, user interface, and feedback systems, various programming languages (Java, C, C++, C#, Python, JavaScript), technologies in the area of
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of research interests / ideas for a prospective doctoral project proposal With a plan for the completion of the doctorate With a confirmation of enrolment in the doctoral programme/having passed the FÖP Via our
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programme of the Vienna Doctoral School of Pharmaceutical, Nutritional and Sport Sciences (VDS PhaNuSpo) and to sign a doctoral thesis agreement within 12-18 months after being employed. The position is
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. Interest in extending methods that allow the application of quantum algorithms, using quantum simulators or/and quantum computers for quantum chemistry. Strong programming skills, especially in Python and/or
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, Bioinformatics, Chemical Engineering, Systems Biology, or a related field. Good programming skills in Python, R, or similar languages. Experience with mathematical modeling, process optimization, or AI methods is
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of written and spoken English. You are expected to subscribe to the PhD program of the VDSEE Doctoral School . What we offer: Work-life balance: Our employees enjoy flexible working hours and can partially
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. Excellent command of written and spoken English. You are expected to subscribe to the PhD program of the VDSEE Doctoral School . What we offer: Work-life balance: Our employees enjoy flexible working hours
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in translation and interpreting, and 2) translation and interpreting in social, institutional and media contexts. The Centre offers the following study programmes: Bachelor’s programme “Transcultural
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, statistical software, biostatistical software) Understanding of bioacoustic principles Desirable knowledge: programming skills (preferably python or R), knowledge of machine- and deep learning, bioacoustic