71 computer-science-programming-languages-"the"-"U.S"-"FEMTO-ST-institute" positions at University of Vienna
Sort by
Refine Your Search
-
, please sketch a doctoral research program This is part of your personality: • Ability to work under pressure • Problem solving skills • Excellent communication skills • Ability to work in a
-
of Business, Economics and Statistics at the University of Vienna invites applications for a Tenure-Track Professorship in Computational Statistics and Data Analysis The position We welcome applications from
-
Successful candidates will develop Digital and Computational Methods for Historical Source Analysis and Edition with a focus on the Modern Period. They will work on new developments in computer science and
-
the faculty’s ongoing research activities in the field of applied and computational PDEs in a coherent manner. Current research covers a wide range of applications, including biology, materials science, and
-
reconstitute complex biological systems across different scales. Candidates should have a proven track record in biology, biophysics, or computational science. Your research proposal should be original and
-
teaching, the applicant will be involved, inter alia, in the education of fundamentals in mathematics in all study programs of the faculty, esp. in the Master program Business Analytics. The Tenure Track
-
collaboration in laboratory practicals in the Bachelor's degree program in Chemistry and the independent implementation of digital practicals dedicated to the digital processing of large data sets. The focus here
-
accordance with the collective agreement Student supervision Participation in evaluation measures and quality assurance Participation in departmental administration and program development Your profile
-
disciplines with faculties at the University of Vienna, including the Faculty of Computer Science, which is closely related to interactive communication. https://publizistik.univie.ac.at/en/research/ Your
-
: • Merging computer science and qualitative and quantitative social science methods, you explore the conceptual data models that underpin different infrastructures and how this affects data discovery, use and