169 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Dr" "UCL" positions at University of Vienna in Austria
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University assistant (prae doc) as soon as possible, at the Research Group Data Mining and Machine Learning at the Faculty of Computer Science under the supervision of Univ.-Prof. Dipl.-Inform.Univ. Dr
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scientifically. Is that what you are looking for as well? Then we warmly welcome you to our team! Your personal sphere of influence: The research group “Neuronal Network Dynamics and Behaviour” led by Prof. Dr
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PhD should be within the areas of expertice of the laboratory for Cognitive Research in Art History (https://crea.univie.ac.at/). Your future tasks: PhD thesis, preferably in the area of the FWF project
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to join our team! Your professional field of activity: As a University Assistant (40 hours/week), you will join the research team led by Univ.-Prof. Dr. Radu Ioan Bot. The main research areas of the working
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the University of Vienna: https://doschem.univie.ac.at/ The employment duration is 3 years. Initially limited to 1.5 years, the employment relationship is automatically extended to 3 years if the employer does not
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the University of Vienna: https://doschem.univie.ac.at/ The employment duration is 3 years. Initially limited to 1.5 years, the employment relationship is automatically extended to 3 years if the employer does not
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of Mathematics (VSM https://www.vsmath.at ), for general enquiries please contact Prof. Dr. Andreas Cap. We are looking for independent scientists with a strong interest in research. For the purpose
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well as a solid knowledge of statistical data analysis would be of additional advantage but are not mandatory. Ability to work independently and on a team, as well as good communication skills in English
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, radionuclides, or air pollutants. Our future research strategy also includes studies of the higher atmosphere. To learn more about our team, we invite you to visit our website: https://flexteam.univie.ac.at
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should also actively contribute to and collaborate with the CRC TACO, https://sfb-taco.at/ a joint research project funded by the Austrian Science Fund. Qualification: Applicants have outstanding