Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- DAAD
- Fraunhofer-Gesellschaft
- Leibniz
- Nature Careers
- Technical University of Munich
- Forschungszentrum Jülich
- Humboldt-Stiftung Foundation
- Heidelberg University
- Free University of Berlin
- ;
- Max Planck Institute of Molecular Physiology, Dortmund
- Brandenburg University of Technology Cottbus-Senftenberg •
- Goethe University Frankfurt •
- Justus Liebig University Giessen •
- Leipzig University •
- Ludwig-Maximilians-Universität München •
- Max Planck Institute for Multidisciplinary Sciences, Göttingen
- Max Planck Institute for Social Law and Social Policy, Munich
- Max Planck Institute for Solar System Research, Göttingen
- Max Planck Institutes
- University of Bremen •
- University of Göttingen •
- University of Münster •
- University of Potsdam •
- University of Regensburg •
- University of Tübingen
- University of Tübingen •
- 17 more »
- « less
-
Field
-
increasingly important, but also more complex, due to rising demands on performance, precision, quality, and sustainability. Bayesian optimization (BO) - a special machine learning approach - represents a
-
The Fraunhofer Institute for Solar Energy Systems ISE in Freiburg is Europe's largest solar research institute. Our approximately 1,400 employees work towards a sustainable, economical, secure, and socially equitable energy supply system based on renewable energies. We contribute to this through...
-
models (POPGN and sparse GPs) for uncertainty quantification of complex process Develop surrogate model for multi-stage manufacturing process and use Bayesian optimization (BO) to optimize the output
-
Master Thesis on Bayesian Optimization of Multi-stage Processes with Smart Inducing Point Allocation
models (POPGN and sparse GPs) for uncertainty quantification of complex process Develop surrogate model for multi-stage manufacturing process and use Bayesian optimization (BO) to optimize the output
-
objects. Different acquisition devices are used depending on the object properties and quality requirements. Using a special hyperspectral camera, a material behavior acquisition device is extended from
-
Your Job: The focus of this Master Thesis is the development of an optimization to minimize energy consumption in an existing model of non-road mobile machinery (NRMM). Optimization opportunities will be explored for various powertrain configurations, including conventional internal combustion...
-
analyses, an area in which our group has a track record of success (see recent publications below). The TARGET-AI project seeks to apply leading-edge techniques from deep learning and Bayesian modeling
-
strategies. Your tasks in detail: Enhance existing Bayesian state estimation with reliability margins using both simulated and, if necessary, real-world grid data. Develop Use-Case-Specific Reinforcement
-
and reduction Development and application of big data analytics for large X-ray data sets Application of Bayesian methods to X-ray data Combinatorial analysis of various data from complementary
-
Bayesian belief networks; Experience in scenario development approaches, e.g. SSPs; Experience in the application of R-based analytical tools for qualitative or semi-quantitative modelling, incl. RQDA