Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Nature Careers
- Graz University of Technology
- University of Innsbruck
- University of Vienna
- University of Graz
- Universität Wien
- Institute of Molecular Biosciences (IMB)
- Cluster of Excellence Circular Bioengineering
- Computational Imaging Research Lab (CIR), Department of Biomedical Imaging and Image-guided Therapy
- MedUni Vienna
- Medizinische Universitaet Wien
- St. Anna Children's Cancer Research Institute (St. Anna CCRI)
- St. Anna Kinderkrebsforschung e.V.
- University for Continuing Education Krems
- University of Natural Resources and Life Sciences (BOKU)
- Vienna University of Technology
- 6 more »
- « less
-
Field
-
converters. Very good analytical skills and methods Experience with simulation and design tools such as Plexim, PSIM, FEM tools, Altium Designer and MATLAB Experience in the development, troubleshooting and
-
. Applicants must hold a relevant master’s degree for their chosen PhD project and meet MedUni Vienna’s official admission criteria. Research experience or familiarity with specific methods may vary depending
-
Computational Imaging Research Lab (CIR), Department of Biomedical Imaging and Image-guided Therapy | Austria | 14 days ago
, startups and patient partners. Your Mission as PhD is to develop novel machine-learning methods to (1) detect small, clinically meaningful changes in joints, (2) enable robust longitudinal monitoring and
-
knowledge of digital methods, particularly in the areas of geometric modelling, architectural and structural simulation and materialisation at various scales Interest and proven skills in digital and manual
-
; knowledge of statistical and empirical methods; programming skills are an advantage Ability to work in a team; ability to work under pressure; independence, communicative competence in dealing with colleagues
-
CoBeNe) . This is part of your personality: Must-haves: Completed Master's/Diploma degree in the field of biology First practice in scientific writing and with molecular-genetic research methods Didactic
-
of biology First practice in scientific writing and with molecular-genetic research methods Didactic skills / experience in e-learning Strong IT user skills, including MS Office and other programs e.g
-
-haves: Completed Master's/Diploma degree in the field of biology First practice in scientific writing and with molecular-genetic research methods Didactic skills / experience in e-learning Strong IT user
-
Systems. For this, we apply a combination of methods from both Physics and Mathematics, complemented by concepts from Theoretical Computer Science. Our research group is located jointly at the Faculty
-
and spectroscopic data Development, implementation and application of methods for the analysis of data on dwarf galaxies Contributions to international collaborations (especially Euclid and ARRAKIHS