Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of Vienna
- Graz University of Technology
- AIT Austrian Institute of Technology
- BOKU University
- IT:U Interdisciplinary Transformation University austria
- LEC GmbH
- MedUni Vienna
- Medical University Graz
- Medical University of Graz
- Nature Careers
- St. Anna Children's Cancer Research Institute (CCRI)
- St. Anna Kinderkrebsforschung e.V.
- University of Graz
- University of Innsbruck
- Vienna Graduate School of Population Genetics
- 5 more »
- « less
-
Field
-
tensions between scientific, political and economic dimensions of these biomedical innovation processes. Focusing on the visions and practices of developers, researchers, funders and regulators in the field
-
matter and computer simulations. Knowledge on programming is essential. Experience in using simulation packages will be appreciated. Excellent command in written and oral English (C1) Team player and high
-
that flexibility is essential, so an individual start date can be arranged to accommodate your needs. Selection process:• Document Check: • The recruitment board reviews all submitted applications. Candidates
-
leveraging advanced computer vision and deep learning-based pose estimation from football match footage to analyze pre-injury biomechanical patterns and joint load dynamics. The research aims to create
-
processing. • You have already a background in solid state spectroscopy and material science. • You have an excellent command of written and spoken English. What we offer: Inspiring working atmosphere
-
Degree or equivalent Additional Information Selection process Please send your application (including CV, information about BSc- and MSc-grades, cover letter and list with names of potential references
-
activities in the field of national and international civil procedure law and willingness to write a dissertation in this field Professional legal experience and language skills are an advantage good knowledge
-
process, identification of parameters, variational modeling, and generative machine learning methods; see https://imsc.uni-graz.at/mr-dynamo for further details. As part of this research effort, we invite
-
Engineering, Software Engineering & Management, Mathematics, and equivalent fields of study We Offer Interesting area of responsibility Collegial and friendly working atmosphere Flexible working schedule (e.g
-
materials: Prepare research results didactically and develop modern teaching materials. Modeling: work with SysML and ARCADIA for system modeling and carry out process and method modeling Research projects