Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Technical University of Munich
- DAAD
- Forschungszentrum Jülich
- Nature Careers
- Justus Liebig University Giessen •
- Leibniz
- Academic Europe
- Deutsche Bundesbank
- Deutsches Elektronen-Synchrotron DESY •
- FBN Dummerstorf
- GFZ Helmholtz-Zentrum für Geoforschung
- Heidelberg University
- Max Planck Institute for Software Systems •
- Saarland University •
- University of Göttingen •
- University of Hamburg •
- University of Potsdam •
- University of Siegen
- University of Stuttgart
- University of Würzburg
- Universität Siegen
- 11 more »
- « less
-
Field
-
of this position is the use of AI to support software development teams. Successful applicants must hold an excellent MSc degree (or equivalent, e.g. Diploma) in an AI-related discipline, e.g. computer
-
propagation environments. ▪ Implementing selected resilience strategies on software defined radios (SDRs) or vector signal transceivers with up to 4 GHz instantaneous bandwidth. ▪ Using the digital twin
-
software as python packages Report findings and methods in conference and journal papers Your profile Masters, Diploma or equivalent degree in IT/computer science/statistics/applied mathematics/data science
-
Analytics Software Engineering for Distributed Systems Telematics Theoretical Computer Science Optimal Transport Work on a scientific topic aims to enable the student to understand complex scientific work
-
ruminants Sense of responsibility, operational readiness, and physical resilience according to the area of duties Experience in using MS Office software Commitment and ability to work in a team Good written
-
candidates Starting your studies in Giessen: https://www.uni-giessen.de/en/international-pages/study/enrol Service and advice for international doctoral candidates: https://www.uni-giessen.de/en/international
-
. The existing processing software, as well as the 2D and 3D inversion strategies, are to be further developed. This requires close cooperation with the technical staff of the section. Further data sets need to be
-
reports Develop and apply software tools Document software and data according to the FAIR data principles Your Profile: Master`s degree in astronomy, physics, computer science or equivalent degree Solid
-
the development of scalable software tools and pipelines, potentially leveraging GPU/FPGA accelerators. Our aim is to build next-generation molecular atlases for chronic diseases and to improve patient
-
/software. Contribute to designing and evaluating scheduling algorithms for virtualized or distributed AI resources under varying load, latency, and failure conditions. Build and test a scenario generator for