Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
Agreement for University Staff (level A2) and an organisational retirement plan Application documents (in English): Letter of motivation Academic curriculum vitae education and training (PhD Certificate, PDF
-
the faculty’s study programs. We offer a stimulating research environment including various research activities and PhD-programs coordinated by the Oskar Morgenstern Doctoral School (https://oskar-morgenstern
-
an attractive salary according to the Collective Bargaining Agreement for University Staff (level A2) and an organisational retirement plan Application documents (in English): Letter of motivation Academic
-
and German (spoken and written) Good programming skills, preferably in Python Strong ability to work in teams Perseverance and ability to get things done A high motivation and commitment to excel in
-
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
-
an attractive salary according to the Collective Bargaining Agreement for University Staff (level A2) and an organisational retirement plan Application documents (in English): Letter of motivation Academic
-
for University Staff (level A2) and an organisational retirement plan Application documents (in English): Letter of motivation Academic curriculum vitae education and training (PhD Certificate, PDF) positions
-
quantitative research and experience with statistical analysis software (e.g., R, Mplus, JASP). Excellent German and English language skills, both written and spoken. Proficiency in IT applications. Initial
-
of students. The candidate is expected to teach courses at undergraduate level (English or German). The possibility to do a Habilitation is given. Your future tasks: Active participation in research, teaching
-
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