Sort by
Refine Your Search
-
Listed
-
Employer
- Forschungszentrum Jülich
- Technical University of Munich
- Nature Careers
- Leibniz
- Fraunhofer-Gesellschaft
- Heidelberg University
- Karlsruher Institut für Technologie (KIT)
- WIAS Berlin
- CISPA Helmholtz Center for Information Security
- Deutsches Zentrum für Neurodegenerative Erkrankungen
- Friedrich Schiller University Jena
- Fritz Haber Institute of the Max Planck Society, Berlin
- Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association
- Max Delbrück Center
- Max Planck Institute for Infection Biology, Berlin
- Max Planck Institute for Multidisciplinary Sciences, Göttingen
- Max Planck Institute of Biophysics, Frankfurt am Main
- University of Tuebingen
- University of Tübingen
- 9 more »
- « less
-
Field
-
characterization and optimization Development and operation of continuous fermentation processes under strict anaerobic conditions Strategic contribution to platform development for metabolic engineering What you
-
technical approaches, optimize existing methods, and actively foster scientific discussions within the research environment. Engagement in collaborative projects: You will take an active role in joint
-
strong interest in applied AI in bio-medical settings several years of experience in data analysis / machine learning / AI as well as, optimally, multi-omics integration, lipidomic analysis, and/or single
-
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
-
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
-
) structures using high energy X-ray methods (scattering, spectroscopy, imaging) Design, optimization, and testing/benchmarking of reactors for operando studies Unravelling of relationships between catalyst
-
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
-
of the research group ‘Crop Physiology’ is to understand the physiology of plants down to the structure and function of genes and proteins. Thereby, relevant mechanisms are identified, which allow optimizing
-
, computer science, mathematics, physics, or a related field with an outstanding academic record. Interest in mathematical signal processing, optimization, and/or machine learning is important. Since