Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Technical University of Munich
- Fraunhofer-Gesellschaft
- Forschungszentrum Jülich
- Nature Careers
- DAAD
- Leibniz
- Free University of Berlin
- Heidelberg University
- Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung
- CISPA Helmholtz Center for Information Security
- Helmholtz-Zentrum Berlin für Materialien und Energie
- Max Planck Institute for Intelligent Systems, Tübingen site, Tübingen
- University of Tübingen
- Carl von Ossietzky Universität Oldenburg
- Constructor University Bremen gGmbH
- Deutsches Elektronen-Synchrotron DESY •
- Fraunhofer Institute for Wind Energy Systems IWES
- GFZ Helmholtz-Zentrum für Geoforschung
- Helmholtz Zentrum Hereon
- 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)
- Katholische Universität Eichstätt-Ingolstadt
- 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
- Saarland University •
- TU Dresden
- Technische Hochschule Köln
- Uni Tuebingen
- University of Bremen •
- University of Oldenburg
- University of Potsdam •
- University of Tuebingen
- Universität Bremen
- Universität Siegen
- 31 more »
- « less
-
Field
-
machine learning-based systems to integrate more renewable energy into our energy systems and make energy use more efficient. We develop new optimization methods, machine learning algorithms, and
-
Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | 2 months ago
on particulate and dissolved organic matter from hyperspectral absorption data sampled at Arctic expeditions at AWI’s Hausgarten (Fram Strait) in the last 10 years by optimizing established algorithms from
-
. Requirements: • Bachelor's degree in computer science or equivalent knowledge Desirable: • Knowledge and practical experience in areas such as algorithms, data structures, software engineering, artificial
-
aspects across a wide range of fields - from biomechanics and geophysics to polymer-fluid coupling. Further areas of interest include numerical algorithms for high-dimensional problems, classical (mainly
-
control, state estimation, and path planning algorithms for single and multi-agent robotic systems (UAVs). develop and train AI models for practical applications such as real-time object detection and
-
format for the unambiguous and machine-readable characterization of software interfaces and data models Selection and configuration of algorithms for annotating and organizing research data and software
-
learning (ML) methods—including surrogate modelling, feature extraction, and inverse design algorithms Generate synthetic microstructures (based on the open-source OptiMic software) Perform descriptor
-
programming and know how to use version control. ▪ You are experienced in the usage of machine learning (e.g., Actor-critic algorithms, deep neural networks, support vector machines, unsupervised learning
-
play a central role in this interdisciplinary initiative. They will: Develop and apply machine learning (ML) methods – including surrogate modeling, feature extraction, and inverse design algorithms
-
Leibniz-Institute for Plant Genetics and Crop Plant Research | Neu Seeland, Brandenburg | Germany | 3 months ago
architecture of important crop traits like grain yield heterosis. In the era of large population size and dense genomic data such as whole-genome sequencing, new algorithms are needed to remove the bottleneck