Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
and determination? We are currently seeking a/an Predoctoral assistant Computer Science 39 Faculty of Computer Science Job vacancy starting: 01.07.2025 (MM-DD-YYYY) | Working hours: 30.00
-
AI:AT – the AI Factory Austria – is making Austria a hotspot for Artificial Intelligence in Europe. AI:AT is a joint project of AIT and Advanced Computing Austria. It brings together top-level
-
), robustness and flexibility. We cover the whole data processing chain including image capture, computational imaging and classification with classical and AI methods. You will develop concepts, specifications
-
What to expect: The minimum gross annual salary on a full-time basis (38,5 h / week) according to the collective agreement is EUR 59.934,--. The actual salary will be determined individually, based on your qualifications and experience. In addition, we offer company benefits, flexible working...
-
actively contribute to this strategic initiative by researching and developing scalable, practical frameworks for implementing Trustworthy AI principles in diverse projects and across multiple technology
-
technologies such as distributed IT systems, Internet of Things, IoT, cybersecurity, data science, artificial intelligence (AI), blockchain technologies, quantum and photonic technologies, wireless systems (6G
-
information and to submit your application, see: https://visess.univie.ac.at/phd-programme/funding-possibilities/visess-completion-grants/ . Your future tasks: You actively participate in research, teaching
-
focus on a variety of key technologies like Distributed IT Systems, Internet of Things, IoT, Cybersecurity, Data Science, Artificial Intelligence (AI), Blockchain Technologies, Quantum & Photonic
-
qualifications as an Ingenious Partner: Completed university degree, preferably in computer science, electrical engineering, computer engineering, mathematics, physics or similar (minimum BSc. degree) Good
-
the forefront of numerical analysis for Partial Differential Equations, enriched with data-driven methodologies -- a powerful combination that’s redefining what’s possible in computational science, and is playing