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
- Max Planck Institute for Brain Research, Frankfurt am Main
- Deutsches Elektronen-Synchrotron DESY •
- Fritz Haber Institute of the Max Planck Society, Berlin
- Helmholtz-Zentrum Berlin für Materialien und Energie
- Helmholtz-Zentrum Geesthacht
- Leibniz-Institute for Plant Genetics and Crop Plant Research
- Max Planck Institute for Molecular Genetics •
- Max Planck Institute for Multidisciplinary Sciences, Göttingen
- Max Planck Institute for the Structure and Dynamics of Matter, Hamburg
- Max Planck Institutes
- Saarland University •
- TU Dresden
- University of Bremen •
- University of Potsdam •
- University of Tübingen
- 12 more »
- « less
-
Field
-
for the physical sciences. We have a strong profile in computational statistics, simulation and learning algorithms, and scientific software development. As a closely collaborating, international team
-
3D software using machine learning tools such as neural networks. You will perform quantitative analyses on existing large amounts of tomographic imaging data and improve the evaluation algorithms in
-
algorithms for application parallelization, simulators and virtual platforms for application- and architecture exploration, hardware/software co-design and operating/runtime systems. Typical application
-
Leibniz-Institute for Plant Genetics and Crop Plant Research | Neu Seeland, Brandenburg | Germany | 2 days 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
-
with the latest sensors (camera and LiDAR sensors), is available for the work. What you will do Development of algorithms for 3D multi-object tracking based on heterogeneous sensor data fusion (standard
-
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
-
of algorithms and digital neuromorphic hardware is an additional avenue for enhancing the efficiency of the methods. In this context the research will explore digital, event-based implementations
-
Your Job: This thesis focuses on designing, evaluating, and deploying algorithms for robot perception and control. The main task is predicting both self-motion and the motion of surrounding agents
-
applications. Our overarching aim is to obtain a holistic view of interconnected biological systems in health and disease. We develop clearing technologies for cellular-level imaging and deep learning algorithms
-
terrestrial system models, for example using data analysis methods, such as data assimilation, physical- or process-based machine learning, or deep learning algorithms Analysis of the effects of human