Sort by
Refine Your Search
-
Category
-
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
- Deutsches Elektronen-Synchrotron DESY
- Deutsches Elektronen-Synchrotron DESY •
- Heidelberg University
- Max Planck Institute for Molecular Genetics •
- Max Planck Institutes
- Saarland University •
- Technische Universität Chemnitz
- University of Bremen •
- University of Potsdam •
- 4 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
-
of battery and hydrogen storage during Dunkelflaute periods. The developed algorithm will be first test in the hardware-in-the-loop environment developed together with the other partners. After that, the same
-
Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | about 1 month ago
the application of various ML algorithms, including supervised algorithms for environmental predictions, as well as unsupervised algorithms for clustering and LLMs/Transformers Experience with sequence data
-
of an algorithm to analyse discharge signals, building a secure dataset for new tool–workpiece material combinations enabling process-integrated antibacterial coatings, derivation of data-based strategies to reduce
-
develop advanced models, algorithms, and control solutions for simulating, optimizing, and operating future integrated energy systems. We address the challenges arising from the increasing integration
-
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
-
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
-
tuberculosis (TB) screening research, spanning the evaluation of novel, high-throughput molecular tests, innovative screening algorithms, and digital health tools. A core component of the role involves
-
techniques to simplify sensor calibration, analyze measurement data and develop adaptive algorithms for intelligent sensing applications. Conduct excellent research: Publish your research in leading
-
. ▪ 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