25 computer-science-image-processing Postdoctoral research jobs at UNIVERSITY OF VIENNA
Sort by
Refine Your Search
-
didactic skills High written and oral expression skills Computer user skills Excellent command of English Ability to work in a team We also expect: Teaching experience / experience with e-learning Experience
-
faculty. You participate in research projects and studies. Candidate Profile: You might have a background in computational chemistry, theoretical condensed matter physics, computer science, or a similar
-
methodologies -- a powerful combination that’s redefining what’s possible in computational science, and is playing a crucial role in tackling some of today’s scientific and societal challenges. The candidate will
-
: Department for Structural and Computational Biology at the Max Perutz Labs, a research institute established by the University of Vienna and the Medical University of Vienna. Dedicated to a mechanistic
-
, which means: Developing a third-party funded project to be submitted to a competitive programme (e.g. Marie Curie, FWF individual project, FWF Esprit) Further developing your academic profile through
-
49 Faculty of Social Sciences Startdate: 01.09.2025 | Working hours: 40 | Collective bargaining agreement: §48 VwGr. B1 lit. b (postdoc) Limited until: permanent Reference no.: 4032 Explore and
-
) Advanced statistical evaluations (in particular machine learning-based analyses and research syntheses such as scoping/systematic reviews, meta-analyses and meta-science approaches) Leading functions in data
-
to the study and teaching of the language and literature of ancient Greece and Rome, including Late Antiquity, as well as the late, medieval, and Neo-Latin language and literature. At the core of the program is
-
at the University of Vienna, the Austrian Academy of Sciences and numerous other national and international partners who cooperate in outstanding research projects. Your future tasks: Active participation in research
-
of social sciences a successful dissertation with a focus on the above-mentioned research areas proven research competence through publications good IT user skills and knowledge of social science analysis