52 developer-"https:" "https:" "https:" "Dublin City University" PhD positions in Austria
Sort by
Refine Your Search
-
Category
-
Employer
- University of Innsbruck
- University of Vienna
- University of Graz
- AIT Austrian Institute of Technology
- Nature Careers
- Universität Wien
- Medical University of Innsbruck
- Universität für angewandte Kunst Wien
- BOKU University
- Graz University of Technology
- Medizinische Universität Wien (Medical University of Vienna)
- TU Wien
- Technische Universität Wien
- UNIVERSITY OF EAST LONDON
- University for Continuing Education Krems
- Universität Innsbruck
- Vienna Textile Lab
- Vienna University of Technology
- WU Vienna University of Economics and Business
- 9 more »
- « less
-
Field
-
binding call for application (in German) including the salary can be found here: https://lfuonline.uibk.ac.at/public/karriereportal.details?asg_id_in=15634 The University of Innsbruck is committed
-
. 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
-
application (in German) including the salary can be found here: https://lfuonline.uibk.ac.at/public/karriereportal.details?asg_id_in=15623 The University of Innsbruck is committed to raising the quota of female
-
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
-
dataset(s) - Development of new survey and collection of original survey data - Development and implementation of experimental studies - Writing and contributing to scientific papers for peer
-
with other partners in the consortium develop a life-cycle-analysis (LCA) framework for selected pigment manufacturing and dye application processes, effectively incorporating process engineering data
-
: 04/07/2026 Prae Doc https://vds-physics.univie.ac.at/open-calls/completion-funding/#c1097213
-
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
-
development Outstanding knowledge of empirical social research methods Advanced competence in statistical methods and computer programs for analysis of quantitative and qualitative empirical data (e. g. SPSS
-
: 07.04.2026 Prae Doc https://vds-physics.univie.ac.at/open-calls/completion-funding/#c1097213