Sort by
Refine Your Search
-
Employer
- Universität Wien
- Medical University of Innsbruck
- AIT Austrian Institute of Technology
- Graz University of Technology
- Johannes Kepler University
- Academic Europe
- CeMM - Research Center for Molecular Medicine of the Austrian Academy of Sciences
- Medical University Innsbruck
- Medizinische Universität Wien (Medical University of Vienna)
- TU Wien
- University of Innsbruck
- University of Vienna
- University of Vienna (JOBCENTER)
- Vienna University of Technology
- 4 more »
- « less
-
Field
-
permanent position depending on requirement and performance evaluation Job profile: In this position you will carry out research which requires a doctorate/PhD in the defined field and a high degree of
-
no.: 2439 Explore and teach at the University of Vienna, where over 7,500 academic minds have found a unique blend of freedom and support. Join us if you're driven by a passion for top-notch international
-
for the position of one to two Prae-Docs (3 year appointment, 30 hours) at the intersection of Mathematical Finance, Stochastic Analysis and Machine Learning. The successful candidate will work in the group
-
Machine Learning. The successful candidate will work in the group of the START research project "Universal structures in Mathematical Finance", led by Prof. Christa Cuchiero. The focus of the project lies
-
of one to two Prae-Docs (3 year appointment, 30 hours) at the intersection of Mathematical Finance, Stochastic Analysis and Machine Learning. The successful candidate will work in the group of the START
-
of teaching Your Qualifications: The successful candidate must hold a Doctorate/PhD degree or equivalent in machine learning or closely related field, such as Computer Science with strong focus on machine
-
fields. Proven knowledge in artificial intelligence and machine learning applications (e.g., PyTorch, TensorFlow). Familiarity with design computation tools like Grasshopper for Rhino3D and experience in
-
project, a machine learning algorithm will be developed for magnetic systems. Specifically, the project aims to solve non-linear magnetic equations (e.g. macroscopic Maxwell equations) using physically
-
diagnostic imaging methods, as well as associated machine learning applications to strengthen, expand and cross-link existing research topics within the university. Additional Information Selection process The
-
able to teach in German within three years from the signing of the contract Advanced computer skills are desirable. Ability to work in a team. Organisational skills. Additional Information Benefits What