Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
of their acceptability and functionality. The master theses projects will be part of the AIT Technology Experience Center´s Next Generation HCI Talents Programme, which offers dedicated skill developments as
-
organise scientific events. You prepare and complete a publication-ready habilitation. You hold courses independently in the Bachelor programme „Languages and Cultures of South Asia and Tibet” and the Master
-
Data Stewardship program. The Faculty of Earth Sciences, Geography and Astronomy (Fakultät für Geowissenschaften, Geographie und Astronomie / FGGA) is therefore looking for a highly motivated person (m/f
-
programme "Philosophy and Economics" (within the scope of the provisions of the collective bargaining agreement). participate in examination activities, evaluation measures and in quality assurance. take on
-
in real-world scientific contexts. The research program is flexible and interdisciplinary. AITHYRA, the place where magic happens! The mission of AITHYRA , the new Research Institute for Biomedical
-
join our accomplished team! Your personal sphere of influence: The Doctoral School Computer Science DoCS (https://docs.univie.ac.at) founded in 2020 offers a structured doctoral programme that supports
-
infrastructure investment. The Perutz participates in prestigious programs, including the Vienna BioCenter PhD program, the EU-funded VIP3 postdoctoral program, and the Vienna BioCenter Summer School. The Perutz
-
a variety of approaches, such as stochastic processes, kinetic theory, variational analysis, finite element methods, and data-driven techniques. The Vienna School of Mathematics doctoral program
-
to the Collective Bargaining Agreement amounts to EUR 3.714,80; In the case of a normal weekly working time of less than 40 hours the salary shall be prorated.) and will be enrolled in the department's PhD program in
-
to the department Ph.D. program and will work on the development and analysis of statistical methods for machine learning, particularly in the context of high-dimensional models and with a particular focus on methods