Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Fraunhofer-Gesellschaft
- Technical University of Munich
- Forschungszentrum Jülich
- Nature Careers
- DAAD
- Leibniz
- Free University of Berlin
- Heidelberg University
- Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung
- Max Planck Institute for Intelligent Systems, Tübingen site, Tübingen
- CISPA Helmholtz Center for Information Security
- Carl von Ossietzky Universität Oldenburg
- Deutsches Elektronen-Synchrotron DESY •
- Fraunhofer Institute for Wind Energy Systems IWES
- GFZ Helmholtz-Zentrum für Geoforschung
- Helmholtz Zentrum Hereon
- Helmholtz-Zentrum Berlin für Materialien und Energie
- Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association
- Helmholtz-Zentrum Geesthacht
- Helmholtz-Zentrum Hereon
- Heraeus Covantics
- International PhD Programme (IPP) Mainz
- Karlsruher Institut für Technologie (KIT)
- Leibniz-Institute for Plant Genetics and Crop Plant Research
- Max Planck Computing and Data Facility (MPCDF), Garching
- Max Planck Institute for Molecular Genetics •
- Max Planck Institute for Radio Astronomy, Bonn
- Max Planck Institutes
- TU Dresden
- Technische Hochschule Köln
- Uni Tuebingen
- University of Bremen •
- University of Potsdam •
- University of Tuebingen
- University of Tübingen
- Universität Bremen
- 26 more »
- « less
-
Field
-
Neckarsulm, aiming to explore and develop AI algorithms, frameworks, and hardware architectures for efficient edge deployment in vehicles, with a focus on neuromorphic computing. @Fakultät@-Plakat-A4-hoch
-
: build a digital twin in Isaac Sim/Lab for the robot cell; mirror the real setup with matching kinematics, collision geometries and dynamics Algorithm Implementation: Develop and deploy reinforcement
-
platform for various reinforcement learning and deep learning algorithms for an industrial robot with a robotic hand as end effector.The cloud setup should support large-scale DRL experiments, and robust
-
environment. We are creative, we shape technology, we design products, we improve processes, we open up new paths. Our clients value our modelling competence, algorithms and software products. We
-
data define data and publication formats developing matching algorithms for simulated vs. observed data supporting proposal writing to secure future project funding Requirements: sound communication and
-
connect to our group’s work and how this position supports their career development goals. Possible research topics include (but are not limited to): Optimization algorithms for machine learning (stochastic
-
, graph neural networks, physics-informed ML) to approximate PF results Train models using simulation results generated from conventional power flow solvers Evaluate AI-based approximators in terms
-
of distributed computing, machine learning, image and text analysis, randomized data structures, high-performance computing, and quantum algorithms. Beyond this research, we aim to support computational thinking
-
, and construction of optical systems in the laboratory Documentation and evaluation of experimental and simulation results Development and validation of machine learning algorithms (e.g., CNNs, deep
-
, aiming to explore and develop AI algorithms, frameworks, and hardware architectures for efficient edge deployment in vehicles, with a focus on neuromorphic computing. You will be part of the scientific TUM