Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
that too? Welcome to our team! Your personal scope: At the Institute for Criminal Law and Criminology, you will join the team led by Prof. Ingeborg Zerbes. If you are interested in criminal law, academic
-
assistant prae doc, you will complete the research team around Prof. Magdalena Pöschl and you will take over tasks like active participation in teaching as well as in research and publication projects
-
: As a university assistant prae doc, you will complete the research team around Prof. Annette Rompel, at the Instiute of Biophysical Chemistry at the Faculty of Chemistry. The focus of our research is
-
: We are excited to announce a Postdoctoral Researcher position in the group of Prof. Gunda Köllensperger. The major objective is to downscale metabolomic techniques to the level of organelles, small
-
at the Department of Romance Studies, you will be involved in research and teaching activities in the team of Prof. Dr. Albert Wall. The focus of research and teaching is on Ibero-romance linguistics, in particular
-
of Educational Psychology and Societal Change (Prof. Dr. Thomas Götz). We are looking for a new staff member with a degree in psychology or a related subject, a doctorate in psychology or a related
-
of Law of the University of Vienna, Univ.-Prof. Dr. Brigitta Zöchling-Jud, ( romana.mayer@univie.ac.at ): 1. Letter of motivation 2. Academic curriculum vitae education and training positions held to date
-
Application documents: Please submit a single PDF file (LastName_FirstName.pdf) containing the following information in English via email to the Dean of the Faculty, Univ.-Prof. Dr. Andrea Lehner-Hartmann
-
) containing the following information in English via email to the Dean of the Faculty, Univ.-Prof. Dipl.-Pol. Dr. Michaela Pfadenhauer ( dekanat.sowi@univie.ac.at ): 1. Letter of motivation 2. Academic
-
at the intersection of statistics, machine learning, data analytics and modern AI algorithms. This includes, in particular, statistics for high-dimensional and complex data, stochastic optimization