Sort by
Refine Your Search
-
Category
-
Employer
- University of Vienna
- AIT Austrian Institute of Technology
- Nature Careers
- University of Graz
- Medical University of Innsbruck
- Universität Wien
- Universität für angewandte Kunst Wien
- Graz University of Technology
- Medizinische Universität Wien (Medical University of Vienna)
- TU Wien
- Technische Universität Wien
- UNIVERSITY OF EAST LONDON
- Universität Innsbruck
- Vienna Textile Lab
- WU Vienna University of Economics and Business
- 5 more »
- « less
-
Field
-
can we measure gravity of microscopic systems?”. Such questions and their implications for the foundations of physics are the driving force behind our research. You will be part of our team and develop
-
measure gravity of microscopic systems?”. Such questions and their implications for the foundations of physics are the driving force behind our research. You will be part of our team and develop new ideas
-
as evidence of ongoing CIN. This PhD will work at the leading edge of single-cell transcriptomics and modern statistical/AI methodology to address this gap using in-house developed cell atlases. We
-
-cell transcriptomics and modern statistical/AI methodology to address this gap using in-house developed cell atlases. We will develop and benchmark approaches that infer copy-number changes and CIN
-
. The Wegener Center integrates climate, environmental, and socio-economic research and develops pathways toward a low-carbon, climate-resilient future. We analyze climate and social systems, offer a specialized
-
Learning with Graphs led by Prof. Nils M. Kriege. Our research focuses on the development of new methods and learning algorithms for structured data. Graphs and networks are ubiquitous in various domains
-
. You will be part of our team and develop new ideas, technologies and experiments to provide new insights on macroscopic quantum physics, on gravity at small scales and, in the long run
-
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
-
research focuses on the development of new methods and learning algorithms for structured data. Graphs and networks are ubiquitous in various domains from chem- and bioinformatics to computer vision and
-
suitable host organisms for recombinant production identify and solve metabolic bottlenecks develop cost-effective multi enzyme cascades with cofactor regeneration (if applicable) for in vivo and in vitro