Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- University of Vienna
- AIT Austrian Institute of Technology
- Nature Careers
- Graz Medical University
- Institute of Science and Technology Austria (ISTA)
- University of Innsbruck
- IST Austria
- ;
- European Magnetism Association EMA
- Johann Radon Institute for Comp. and Applied Mathematics
- University of Graz
- Universität Wien
- mdw - University of Music and Performing Arts Vienna
- 3 more »
- « less
-
Field
-
the complex drivers of landslide risk in rapidly urbanising tropical cities. The project will develop a hybrid modelling framework combining process-based and statistical methods to examine causal feedbacks
-
, vibrational spectroscopy, and the application of thermoanalytical methods. Time-resolved measurements to determine the kinetic parameters of the relevant transformations will play a central role in the work
-
: Master degree in technical fields; Excellent fluency in English (both verbally and in written), fluency in German is an advantage; good computer literacy and skills; strong communication (both oral and
-
and structures Basic experience in research methods (legal dogmatics) and academic writing, experience in interdisciplinary research is an asset. What we offer: Work-life balance: Our employees enjoy
-
research methods are beneficial Didactic competences / experience with e-learning IT user skills German proficiency at least at level C1 Excellent command of written and spoken English You should be a team
-
vitro disease models, and multiscale analysis platforms integrating experiment and (AI/ML-powered) computational modeling to uncover causality at the molecular level and system-level dysfunction
-
, human-computer interaction, public health, or a related field. Quantitative research skills, including data analysis with SPSS, R, JASP, jamovi or similar software. Experience in planning and conducting
-
: • 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
-
and outcomes, offering innovative approaches to compliance monitoring in an era where traditional methods are increasingly inadequate. • We expect you to conclude a doctoral thesis agreement within
-
The University of Vienna is a community of over 10,000 individuals, including approximately 7,500 academic staff members, who passionately pursue answers to the profound questions that shape our future. They represent individuals driven by curiosity and a relentless pursuit of excellence. With...