Sort by
Refine Your Search
-
Listed
-
Employer
- Technical University of Munich
- Forschungszentrum Jülich
- Nature Careers
- Leibniz
- Fraunhofer-Gesellschaft
- Karlsruher Institut für Technologie (KIT)
- CISPA Helmholtz Center for Information Security
- Deutsches Zentrum für Neurodegenerative Erkrankungen
- Fritz Haber Institute of the Max Planck Society, Berlin
- Heidelberg University
- Karlsruhe Institute of Technology, KIT
- Max Planck Institute for Infection Biology, Berlin
- Max Planck Institute for Multidisciplinary Sciences, Göttingen
- Max Planck Institute of Biophysics, Frankfurt am Main
- University of Hamburg
- University of Tuebingen
- University of Tübingen
- 7 more »
- « less
-
Field
-
-Technology-Co-Optimization: STCO), AI-driven data analysis and process assessment, packaging-specific PDKs & ADKs, or inline testing & fault analysis (3D)? If so, you are in the right place! What you will do
-
Researchers: Ph.D. in Computer Science or Mathematics, ideally with a background in one or more of the following areas: Optimization, Game Theory, Machine Learning Applicants must demonstrate: • An excellent
-
of Crystallography, RWTH Aachen University. Comprehensive training programs and individual opportunities for personal and professional development Comprehensive company health management Optimal conditions for
-
machine learning-based systems to integrate more renewable energy into our energy systems and make energy use more efficient. We develop new optimization methods, machine learning algorithms, and
-
evaluate the strengths and limitations of eDNA versus acoustic monitoring (and other approaches), identifying optimal applications for each context. Best‑practice development: Co‑design guidelines and
-
characterization and optimization Development and operation of continuous fermentation processes under strict anaerobic conditions Strategic contribution to platform development for metabolic engineering What you
-
under small temperature gradients (ΔT ≤ 30 K). Design and Optimize novel fabrication techniques to achieve high packing densities in thermoelectric generators (TEGs) for powering IoT sensor networks
-
Persistent Name yt-player-bandwidth Use Is used to determine the optimal video quality based on the visitor's device and network settings. Lifetime Persistent Name yt-remote-connected-devices Use Saves
-
on the design and evaluation of innovative data- and machine learning-based systems to integrate more renewable energy into our energy systems and make energy use more efficient. We develop new optimization
-
(MUCCnet: atmosphere.ei.tum.de ) Optimization of an urban sensor network configuration for greenhouse gas and air pollutant measurements using mathematical and physical assessments Analysis of ground-based