Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Technical University of Munich
- Nature Careers
- CISPA Helmholtz Center for Information Security
- DAAD
- Forschungszentrum Jülich
- Friedrich Schiller University Jena •
- GFZ Helmholtz-Zentrum für Geoforschung
- Helmholtz Zentrum Hereon
- Helmholtz-Zentrum Geesthacht
- Helmholtz-Zentrum Hereon
- Leibniz
- Max Planck Institute for Biogeochemistry, Jena
- Technische Universitaet Dresden
- Ulm University •
- University Hospital Jena
- University of Göttingen •
- University of Potsdam •
- University of Siegen
- Universität Siegen
- 9 more »
- « less
-
Field
-
/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
-
, and failure-mode prediction in distributed charging and energy-management environments as part of the BANNER research project Investigate fault-tolerance and fault-recovery mechanisms for decentralized
-
on the atmosphere and is directly dependent on the propagation of those residuals along the flight path. The investigation of the temporal and spatial distribution of the generated emissions in the atmospheric layers
-
on What You See: Semantically Safe Robot Interaction (ID: TUEILSY-PHD20240930-SSR) Distributed Multiagent Planning and Control for Large Aerial Swarms in Changing Environments (ID: TUEILSY-PHD20240930-SAS
-
Where to apply Website https://career.cispa.de/jobs/phd-positions-in-collaborative-distributed-and-sca… Requirements Research FieldComputer scienceEducation LevelMaster Degree or equivalent Research
-
is expected to start in April 2026 and will be embedded in collaborations across the ELLIS Unit Jena (https://www.ellis-jena.eu). Part-time work is generally possible. The position will be evaluated
-
project, you will help design, simulate, and optimize these next-generation communities — making clean, local, and intelligent energy systems a practical reality. Your key responsibilities include
-
of the temporal and spatial distribution of the generated emissions in the atmospheric layers after the re-entering launch vehicle has passed through is therefore crucial for drawing conclusions about their climate
-
. The investigation of the temporal and spatial distribution of the generated emissions in the atmospheric layers after the re-entering launch vehicle has passed through is therefore crucial for drawing conclusions
-
distribution of subsurface heterogeneity to illuminate the imprint of past and present deformation. Project 2: Generation and analysis of a high-quality seismic catalogue in Greece and Albania with Deep Learning