Sort by
Refine Your Search
-
Listed
-
Employer
- Technical University of Munich
- Forschungszentrum Jülich
- Fraunhofer-Gesellschaft
- Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt
- Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung
- Catholic University Eichstaett-Ingolstadt
- Deutsches Elektronen-Synchrotron DESY
- Deutsches Elektronen-Synchrotron DESY •
- Max Planck Institute for Molecular Genetics •
- Max Planck Institutes
- Saarland University •
- University of Bremen •
- University of Potsdam •
- 3 more »
- « less
-
Field
-
PhD student (f/m/d) who wants to take ownership of the software ecosystem behind our computational imaging research – from experimental reconstruction algorithms used inside our lab to robust tools used
-
Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | 28 days ago
Researcher (R1) Application Deadline 16 Sep 2026 - 08:01 (UTC) Country Germany Type of Contract To be defined Job Status Other Is the job funded through the EU Research Framework Programme? Not funded by a EU
-
algorithm will be tested on the real container-scale prototype. Your tasks within framework in detail: Development of the predictive-based control algorithm for the proposed carbon-neutral computing centre
-
are using ferroelectric memories, which can calculate AI algorithms from the field of deep learning in resistive crossbar structures with extremely low power consumption and high speed. We are working
-
, or MATLAB) Interest in quantum computing, quantum algorithms, and hybrid quantum–classical computing. Previous experience is considered an advantage but is not required Knowledge of power systems
-
involving Prof. Dr. Michael Bader (TUM CIT, Hardware-aware algorithms for HPC) , Prof. Dr. Felix Dietrich (TUM CIT, Physics-enhanced Machine Learning) , and Prof. Dr. Hartwig Anzt (TUM CIT, Computational
-
techniques to simplify sensor calibration, analyze measurement data and develop adaptive algorithms for intelligent sensing applications. Conduct excellent research: Publish your research in leading
-
information is contained in these data and develop the computational and statistical approaches needed to extract it. Working closely with experts in imaging technology, algorithm development, biology, and
-
. ▪ Working closely with partners at TUD and theoretical researchers on algorithm development, performance analysis, implementation, and experimental validation. To be qualified for this position, you should
-
companies. The project has partners from eight different EU countries. All 15 Ph.D. projects are within the overall theme of neuromorphic computing and analog signal processing, targeting applications in