Sort by
Refine Your Search
-
Listed
-
Employer
- University of Vienna
- Austrian Academy of Sciences, The Human Resource Department
- Nature Careers
- Universität Wien
- Cluster of Excellence Circular Bioengineering
- St. Anna Children's Cancer Research Institute (St. Anna CCRI)
- St. Anna Kinderkrebsforschung e.V.
- University of Graz
- University of Klagenfurt
- University of Salzburg
- Veterinärmedizinische Universität Wien (University of Veterinary Medicine Vienna)
- mdw - University of Music and Performing Arts Vienna
- 2 more »
- « less
-
Field
-
models for pipeline improvements: https://doi.org/10.1016/j.xcrm.2025.102304 Multi-omics analysis including high-throughput data from image-based drug screens Engagement in an existing skilled technical
-
pediatric AML Development of advanced computer vision models for pipeline improvements: https://doi.org/10.1016/j.xcrm.2025.102304 Multi-omics analysis including high-throughput data from image-based drug
-
Veterinärmedizinische Universität Wien (University of Veterinary Medicine Vienna) | Austria | 4 days ago
the field of One Health. The successful candidate will support ongoing research projects with a particular focus on the conceptual analysis of the One Health and related concepts. You will independently
-
-STEM. This requires mastering complex experiments and developing data analysis routines. The candidate will work closely with colleagues within the institute and the project partners at CNRS, France. The
-
polymerization. Research Objectives: Preparation of polymer substrates suitable for single enzyme molecule analysis Biophysical characterization of enzyme interactions with different polymer substrates Bottom-up
-
has a strong interest in Mathematical Analysis with special backround in Partial Differential Equations and Dynamical Systems, can easily integrate into our team, independently contribute to current
-
interest in Mathematical Analysis with special backround in Partial Differential Equations and Dynamical Systems, can easily integrate into our team, independently contribute to current research, and work
-
processing, inverse problems and data science with emphasis on analysis, optimization, numerics and algorithmic solution Collaboration in interdisciplinary cooperation projects and third-party funded projects
-
(python) and AI/ML frameworks (pytorch, tensorflow or similar) - Experience with predictive models, ideally for image analysis, evidenced by publications - An understanding of and interest in basic
-
focus lies on a complementary approach of compression testing and high-pressure torsion deformation. The experiments are performed on hydrogen pre-charged, nanostructured metals and require analysis