Sort by
Refine Your Search
-
Category
-
Program
-
Employer
- Universität Wien
- Johannes Kepler University
- University of Innsbruck
- AIT Austrian Institute of Technology
- Graz University of Technology
- Academic Europe
- University of Vienna
- University of Vienna (JOBCENTER)
- Austrian Academy of Sciences, The Human Resource Department
- European Magnetism Association EMA
- Institute of Information Technology, University of Klagenfurt
- Medizinische Universität Wien (Medical University of Vienna)
- Nature Careers
- Personalabteilung der Montanuniversität Leoben
- TU Wien
- WU Vienna University of Economics and Business
- 6 more »
- « less
-
Field
-
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
-
sensors and cameras and design scalable embedded vision systems and apply machine learning methods (for e.g., deep learning) to conduct high-performance visual quality inspections of products in
-
Learning • research in the area of Robotics, Computer Vision and Machine Learning • teaching • student supervision and scientific publications • administrative tasks • ongoing training
-
Learning • research in the area of Robotics, Computer Vision and Machine Learning • teaching • student supervision and scientific publications • administrative tasks • ongoing training
-
and Machine Learning • research in the area of Robotics, Computer Vision and Machine Learning • teaching • student supervision and scientific publications • administrative tasks • ongoing
-
number of possible applications cannot be mapped experimentally, you then use established model-based approaches to train machine learning models that can be used to conveniently examine systems with a
-
Job Duties: Independent research and active participation in cooperative research projects of the institute, in particular, in the development, evaluation, and practical application of machine learning
-
/ artificial intelligence / machine learning methods with perspectives from technology innovation, government, business, and society that focus on driving climate action. You will be immersed in
-
simulation of power electronics Machine learning and EMC, in particular for optimization, risk analysis, and model calibration Your Profile Admission Requirements Completed master's or diploma degree in
-
language processing. The natural language processing working group led by Prof. Benjamin Roth is jointly located at the Research Group Data Mining and Machine Learning (Faculty of Computer Science), and the Faculty