130 programming-"the"-"DAAD"-"EURAXESS"-"IDAEA-CSIC"-"FEMTO-ST" positions at University of Vienna
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at the department This is part of your personality: Completed Master's degree or Diploma, programme in natural sciences or equivalent aptitude. Didactic competences / experience with e-learning Excellent command
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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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from you: Applicants should have completed their Master/Diploma degrees (or be very near completion) by the time of their application. We are looking for graduates from: Renowned management programs: e.g
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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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teach seminars supporting students with their Bachelor’s thesis as well as various (including research-led) seminars within the Master’s programme (e.g. seminars supporting students to develop a thesis
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within the Master’s programme (e.g. seminars supporting students to develop a thesis proposal). You will take on administrative tasks, particularly in the administration of teaching. We expect you to keep
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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
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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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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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Computing, led by Univ.-Prof. Dipl.-Ing. Dr. Siegfried Benkner, focuses on research in programming paradigms, languages, compilers and software infrastructures for scientific computing to support users in