Sort by
Refine Your Search
-
Category
-
Employer
- University of Vienna
- Nature Careers
- Graz University of Technology
- Universität Wien
- AIT Austrian Institute of Technology
- Academic Europe
- TU Wien
- University of Innsbruck, Institute of Computer Science
- Computational Imaging Research Lab (CIR), Department of Biomedical Imaging and Image-guided Therapy
- Johannes Kepler University
- St. Anna Children's Cancer Research Institute (St. Anna CCRI)
- St. Anna Kinderkrebsforschung e.V.
- University for Continuing Education Krems
- WU Vienna University of Economics and Business
- 4 more »
- « less
-
Field
-
. Interest in extending methods that allow the application of quantum algorithms, using quantum simulators or/and quantum computers for quantum chemistry. Strong programming skills, especially in Python and/or
-
engineering, environmental technology, sensor technology, and biomedicine. Your profile: Completed doctoral or PhD studies in the relevant subject from a domestic or equivalent foreign university or research
-
Computation was founded in 1992 to research fundamental problems in information processing, such as the design of computer algorithms, the complexity of computations and computational models, automatic
-
problems and have published research in this field. You possess excellent knowledge of constraint programming and evolutionary algorithms for scheduling. A high level of motivation and commitment
-
experienced programmer, preferably using the Python programming language. You are interested in automatic algorithm configuration, and have perhaps even worked on related problem areas of artificial
-
research at peer-reviewed conferences and journals is a plus. You are an experienced programmer, preferably using the Python programming language. You are interested in automatic algorithm configuration, and
-
experienced programmer, preferably using the Python programming language. You are interested in automatic algorithm configuration, and have perhaps even worked on related problem areas of artificial
-
problems and have published research in this field. You possess excellent knowledge of constraint programming and evolutionary algorithms for scheduling. A high level of motivation and commitment
-
part of an interdisciplinary team which works on cutting-edge questions ranging from mathematics and theoretical physics all the way to numerical simulation algorithms? Then apply now to join our team
-
types in combination with adapted and sensor-supported process variants.