Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- University of Vienna
- Nature Careers
- Universität Wien
- AIT Austrian Institute of Technology
- Johannes Kepler University
- Graz University of Technology
- University of Innsbruck
- Universität für angewandte Kunst Wien
- Academic Europe
- Austrian Academy of Sciences, the Institute for the Cultural and Intellectual History of Asia (IKGA)
- Austrian Academy of Sciences, the Johann Radon Institute for Computational and Applied Mathematics (RICAM)
- CeMM - Research Center for Molecular Medicine of the Austrian Academy of Sciences
- IIASA
- TU Wien
- University of Graz
- WU Vienna University of Economics and Business
- academy of fine arts vienna
- 7 more »
- « less
-
Field
-
from chem- and bioinformatics to computer vision and social network analysis. Machine learning with graphs aims at exploiting the potential of the growing amount of structured data in all these areas
-
personality: Master’s degree or diploma in theology or philosophy (with a focus on the study of religion) Teaching skills / experience in e-learning Comprehensive computer skills, particularly MS Office
-
Your responsibilities: As a University assistant, you will contribute to the work group Machine Learning with Graphs led by Prof. Nils M. Kriege. Our research focuses on the development of new methods
-
, statistics, and microbial community analyses Experience with machine learning approaches, including the ability to apply relevant statistical models and predictive analytics to biological datasets, is highly
-
11 Mar 2026 Job Information Organisation/Company Johannes Kepler University Department Institut for Machine Learning Research Field Computer science Researcher Profile Recognised Researcher (R2
-
., research stays, conference participation) Excellent computer skills, particularly in data analysis and scientific documentation Interdisciplinary thinking and the ability to work effectively in a
-
community analyses Experience with machine learning approaches, including the ability to apply relevant statistical models and predictive analytics to biological datasets, is highly advantageous. Hands
-
Austrian Academy of Sciences, the Institute for the Cultural and Intellectual History of Asia (IKGA) | Austria | 4 days ago
(by the start date) Very good knowledge of Classical Tibetan Very good command of English, both spoken and written Knowledge of German is desirable; willingness to acquire working knowledge of German
-
, metals and their surfaces. Machine learning methods are used to close the complexity gap. Currently, the group consists of three full professors, one associate professor, 6 postdocs and about 15 PhD and 7
-
the application of these methods to problems in the physics of oxides, semiconductors, metals and their surfaces. Machine learning methods are used to close the complexity gap. Currently, the group consists