Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of Innsbruck
- University of Vienna
- Graz University of Technology
- TU Wien
- AALTO UNIVERSITY
- Atominstitut TU Wien
- Danube Private University
- Karl Landsteiner University of Health Sciences
- Personalabteilung der Montanuniversität Leoben
- St. Anna Kinderkrebsforschung e.V.
- University of Graz
- Universität Wien
- 2 more »
- « less
-
Field
-
proficiency in standard Office software Willingness to publish research and participate in international conferences Excellent written and spoken English skills Analytical way of thinking Desirable additional
-
, or a closely related discipline; strong interest in experimental quantum physics, enthusiasm for laboratory research, and solid analytical and problem-solving skills; programming experience (e.g
-
Join the Responsible Machine Learning (ML) Group at the Faculty of Computer Science. Led by Prof. Dr. Martin Pawelczyk, who recently joined the University of Vienna from Harvard University, our research
-
and translational researchers, contributing to projects with tangible clinical relevance for children with cancer and immune disorders. Learn more about the Salzer Group . Your responsibilities Generate
-
memory safety, supply chain security and machine learning Independent teaching Student supervision and academic publications Training and professional development Organisational and administrative duties
-
) Limited until: 30.09.2029 Reference no.: 6194 Explore and teach at the University of Vienna, where more than 7,500 academics thrive on curiosity in continuous exploration and help us better understand our
-
compounds, (de)polymerisation catalysis, and reaction kinetics Experience with the following analytical techniques is advantageous: NMR, GPC/HPLC, and TGA Excellent written and spoken English skills Excellent
-
knowledge of German or the willingness to acquire such knowledge is essential. Work Location(s) Number of offers available1Company/InstituteDepartment of Banking and FinanceCountryAustriaCityInnsbruckPostal
-
-content microscopy and AI/deep-learning-supported image analysis will be used to quantitatively assess neuronal morphology and maturation. Parameters will include dendrite length and branching, axon growth
-
applicable, English) and contribute to commentaries on legislation Teaching and involvement in innovative courses: You will teach tax law independently and assist in delivering courses Participation in