Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
Join the Responsible Machine Learning (ML) Group at the Faculty of Computer Science. Led by Prof. Dr. Martin Pawelczyk, who recently joined the University of Vienna from Harvard University, our research
-
Excellent English proficiency, spoken and written IT user skills (computer literacy) Ability to work in a team Desirable: Good knowledge and solid understanding of language learning and teaching research with
-
://isor.univie.ac.at/ ) of the University of Vienna is offering a PhD position in the area of Mathematical Statistics and Machine Learning, starting on 01 March 2027. The group's research is focused on the current
-
experience-dependent plasticity. Our research combines structural and functional neuroimaging, EEG/MEG, behavioural methods, computational modelling, automated neuroanatomical phenotyping, machine learning and
-
on applying computational methods to psychological and clinical domains, especially large language models, natural language processing, machine learning, and statistical modeling for the analysis
-
for coarse-mode aerosol and cloud data (e.g., image processing, machine learning) You will advance and maintain the University of Vienna Core Facility (CF) “ACTRIS Aerosol Observatory” instrumentation, and
-
photons for shining light onto the interface of quantum physics and gravity? Can we exploit quantum photonics technology for novel quantum machine learning, quantum computing and quantum cybersecurity
-
/an ... University assistant predoctoral 34 Faculty of Law Startdate: 01.10.2026 | Working hours: 30 | Collective bargaining agreement: §48 VwGr. B1 Grundstufe (praedoc) Reference no.: 6073 Explore and teach
-
) Limited until: 30.09.2030 Reference no.: 6083 Explore and teach at the University of Vienna, where over 7,500 brilliant minds have found a unique balance of freedom and support. Join us if you’re passionate
-
initially fixed-term for 1 year, with the possibility of being made permanent by mutual agreement. Your future tasks: In this role, you will: implement algorithmic approaches and machine learning models