Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Fraunhofer-Gesellschaft
- Technical University of Munich
- Nature Careers
- Leibniz
- DAAD
- Forschungszentrum Jülich
- Hannover Medical School •
- Deutsches Elektronen-Synchrotron DESY •
- Dresden University of Technology •
- Humboldt-Stiftung Foundation
- Karlsruhe Institute of Technology •
- Max Planck Institute for Biogeochemistry, Jena
- Max Planck Institute for Extraterrestrial Physics, Garching
- Max Planck Institute for Human Cognitive and Brain Sciences •
- Max Planck Institute for Solar System Research, Göttingen
- Max Planck Institute for Sustainable Materials •
- University of Stuttgart •
- 7 more »
- « less
-
Field
-
established that reliably identifies the connected components in the diagrams. You will learn about novel AI models and exchange ideas with experts from the building sector. The "Image Processing and Machine
-
/biomedical engineering or of relevant scientific field A solid background in machine learning Extensive experience with either computer vision or image analysis Good knowledge of deep learning packages
-
biomass, ammonia, hydrogen or electricity. You can find more information under: Combustion technology and emission reduction What you will do Diverse and varied activities as part of the processing and
-
Max Planck Institute for Extraterrestrial Physics, Garching | Garching an der Alz, Bayern | Germany | about 1 month ago
on large telescopes (VLT, LBT, ELT) and for installation on satellites (XMM-Newton, Herschel, eROSITA, NewAthena). For the development of the Wide Field Imager (WFI) instrument for ESA's space X-ray
-
to our researchers, giving them room to focus their full creative potential on developing the imaging and sensing technology of tomorrow. The successful candidate will specifically: • Lead project
-
15.04.2025, Wissenschaftliches Personal The Neutron Imaging Group at the FRM II operates two of the world-leading instruments ANTARES and NECTAR for radiography and tomography with neutrons and
-
completed your doctorate in industrial ecology or energy systems analysis You hold a very good degree (master`s or equivalent) in engineering (e.g., energy technology, mechanical engineering, process
-
Field of study: computer science, mathematics, software design, software engineering, technical computer science or comparable. Machine Learning (ML) models are reaching a maturity level that allows
-
, memristive devices), and the evaluation with e.g. machine learning and image processing benchmarks Requirements: excellent university degree (master or comparable) in computer engineering or electrical
-
of computer science or using computer vision methods Excellent knowledge of the development and implementation of methods in the field of digitization, artificial intelligence, machine learning and/or 2D/3D imaging and