Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- DAAD
- Leibniz
- Nature Careers
- Fraunhofer-Gesellschaft
- Technical University of Munich
- Forschungszentrum Jülich
- Humboldt-Stiftung Foundation
- Heidelberg University
- Free University of Berlin
- Max Planck Institute for Extraterrestrial Physics, Garching
- University of Tübingen
- Brandenburg University of Technology Cottbus-Senftenberg •
- Goethe University Frankfurt •
- Justus Liebig University Giessen •
- Leipzig University •
- Ludwig-Maximilians-Universität München •
- Max Planck Institute for Dynamics and Self-Organization, Göttingen
- Max Planck Institute for Multidisciplinary Sciences, Göttingen
- Max Planck Institutes
- University of Bremen •
- University of Göttingen •
- University of Münster •
- University of Potsdam •
- University of Regensburg •
- University of Tübingen •
- WIAS Berlin
- 16 more »
- « less
-
Field
-
Objects and Visual Studies” doctoral program of the BerGSAS, https://www.berliner-antike-kolleg.org/en/bergsas/index.html We welcome applications from highly qualified graduates from the fields
-
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
-
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...
-
processes related to carbon cycling in the soil-plant system Experience with Bayesian inference and machine learning is an asset Ability to work independently and cooperatively as part of an interdisciplinary
-
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
-
Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | 17 days ago
the structure from such data is challenging, and new theoretical methods and algorithms are required. The research project aims at deriving priors for Bayesian methods from atomistic simulations and machine
-
development. Experience with implementing statistical learning or machine learning (e.g. Bayesian inference, deep-learning). Programming skills in Python and experience with frameworks like PyTorch, Keras, Pyro
-
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