Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Fraunhofer-Gesellschaft
- Technical University of Munich
- Nature Careers
- Forschungszentrum Jülich
- DAAD
- Leibniz
- Free University of Berlin
- RWTH Aachen University
- GFZ Helmholtz Centre for Geosciences
- Helmholtz-Zentrum Berlin für Materialien und Energie
- Max Planck Institute for Brain Research, Frankfurt am Main
- University of Potsdam •
- Deutsches Elektronen-Synchrotron DESY •
- Forschungsinstitut für Nutztierbiologie (FBN)
- Fritz Haber Institute of the Max Planck Society, Berlin
- Heidelberg University
- Heraeus Covantics
- Karlsruher Institut für Technologie (KIT)
- Katholische Universität Eichstätt-Ingolstadt
- Leibniz-Institute for Plant Genetics and Crop Plant Research
- Ludwig-Maximilians-Universität München •
- Max Planck Institute for Molecular Genetics •
- Max Planck Institute for Multidisciplinary Sciences, Göttingen
- Max Planck Institute for Radio Astronomy, Bonn
- Max Planck Institute for the Structure and Dynamics of Matter, Hamburg
- Max Planck Institute of Biophysics, Frankfurt am Main
- Max Planck Institutes
- Menlo Systems GmbH
- Ruhr-Universität Bochum •
- Saarland University •
- TU Dresden
- Technische Universitaet Darmstadt
- University of Bremen •
- University of Tübingen
- Universität Düsseldorf
- 25 more »
- « less
-
Field
-
computing to develop a continuous and local alternative to existing gradient-based learning rules, bridging theories of predictive coding with event-based control/ Simulate models of the learning algorithm
-
energy use more efficient. We develop new optimization methods, machine learning algorithms, and prototypical energy management systems (EMS) controlling complex energy systems like buildings, electricity
-
computing, domain-specific multi- and manycore architectures, networks-on-chip (NoCs), methods and algorithms for application parallelization, simulators and virtual platforms for application- and
-
scalable database of sensor and process data is being created, which serves as the basis for ML models for component segmentation, strategic path planning and process optimisation. The aim is to enable data
-
for Surface Chemistry and In Situ/Operando Spectroscopy, led by Prof. Christian Hess, is a multidisciplinary research group that works on understanding the mode of operation of catalysts, gas sensors and
-
revolution is increasing the flexibility of industrial production and optimizing it by linking traditional production with new technologies such as IoT sensors, edge and cloud systems. This heterogeneous
-
Iterative Algorithms: Optimization and Control.” About the Project The focus of the project is the analysis of iterative algorithms arising from time discretizations of nonlinear evolutions of various kinds
-
. The "Data Science and Measurement Technology" department forms an interdisciplinary team that collaborates closely in areas such as "Process Sensor Technology and System Engineering," "Material Analytics
-
detectors (Partial) automation of detector characterization for more efficient analysis Algorithm development: Development of a correction method based on information field theory for atmospheric image
-
the areas of ‘Process Sensors and Systems Engineering’, ‘Material Analytics’ and ‘Computational Methods’. With our expertise in data science, modelling and systems engineering, we develop tailor-made