Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- University of Vienna
- Nature Careers
- AIT Austrian Institute of Technology
- Universität Wien
- Graz University of Technology
- Academic Europe
- Johannes Kepler University
- TU Wien
- University of Innsbruck, Institute of Computer Science
- Computational Imaging Research Lab (CIR), Department of Biomedical Imaging and Image-guided Therapy
- University of Vienna, Faculty of Computer Science, Research Group Software Architecture
- Veterinärmedizinische Universität Wien (University of Veterinary Medicine Vienna)
- WU Vienna University of Economics and Business
- 3 more »
- « less
-
Field
-
As Austria's largest research and technology organisation for applied research, we are dedicated to make substantial contributions to solving the major challenges of our time, climate change and digitisation. To achieve our goals, we rely on our specific research, development and technology...
-
medical signal processing systems, including the specialized processing and visualization of patient monitoring data. Junior Scientist (f/m/d) – Algorithm Development for Innovative Medical Software CENTER
-
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
-
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
-
Computer Science• Distributed systems (Cloud, Edge)• Scheduling and optimization algorithms• Data streams, data management and data pipelines• software engineeringExpert programmer• Java• at least one other
-
Your profileYou are enthusiastic about developing and investigating innovative research ideas and systems within the discipline of distributed systems? You have a master’s or equivalent degree in
-
for improving the simulation and optimization of distributed systems, for instance by specializing neural ODEs and their training routines. This research will address challenges driven by the energy transition
-
for improving the simulation and optimization of distributed systems, for instance by specializing neural ODEs and their training routines. This research will address challenges driven by the energy transition
-
efficiently. Parallel computing, including algorithms and data structures, compilers, operating and runtime systems, software, programming methods, applications, and architectural support, will continue to be
-
intelligence, computer algebra, computational logic and automatic reasoning Experience with SAT, SMT, QBF, MaxSAT Experience with algorithmic methods for commutative and noncommutative polynomials Experience in