Sort by
Refine Your Search
-
Listed
-
Employer
- Fraunhofer-Gesellschaft
- Forschungszentrum Jülich
- Technical University of Munich
- Nature Careers
- DAAD
- Leibniz
- Technische Universität München
- University of Tübingen
- Humboldt-Universität zu Berlin
- Brandenburgische Technische Universität Cottbus
- Deutsches Zentrum für Neurodegenerative Erkrankungen
- ESO - European Southern Observatory
- FZJ - Forschungszentrum Jülich
- Goethe-Universität Frankfurt am Main
- Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt
- Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association
- Leibniz-Institute for Food Systems Biology at the Technical University of Munich
- Max Planck Institute for Innovation and Competition, Munich
- Max Planck Institute for Intelligent Systems, Tübingen, Tübingen
- Max Planck Institute for Radio Astronomy, Bonn
- Max Planck Institute of Geoanthropology, Jena
- NEC Laboratories Europe GmbH
- Universitätsklinikum Heidelberg – UK Mannheim GmbH
- 13 more »
- « less
-
Field
-
for the recognition, classification and characterisation of images in a wide range of dimensions, wavelengths and resolutions. Background: In computer graphics, accurately modeling and controlling structural elements
-
computers and quantum sensors: we develop tomorrow’s technology in-house for a sustainable and secure society. We are looking for you as a scientist (all genders) for component development! Contribute your
-
processing - Study actin-based processes critical for health and disease using the cryo-ET workflow, from cell sample preparation and optimization to imaging and data analysis - Use computational tools for in
-
the optimal compatibility of studies and practice. We value and promote the diversity of our employees' skills and therefore welcome all applications – regardless of age, gender, nationality, ethnic and social
-
conferences Support the acquisition and execution of national and international research projects Hiermit bringen Sie sich ein PhD or Master’s degree in computer science or a related field Extensive knowledge
-
Informatics. You are passionate about applying cutting-edge information technology to solve the energy and climate crisis and would like to work in a vibrant and international research environment? Then let’s
-
evaluation of innovative data- and 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
-
right through to the tested prototype. The Data-based Methods team at Fraunhofer ENAS develops real-world applications using AI, machine learning, and computer vision. The main focus is on semiconductor
-
Optimization and Reinforcement Learning methods for problems of design/layout Exploration of Heuristics and Data-driven Methods for the generation of design blocks Automated Test and Verification of designs
-
to the answer to this question is an intelligent, central control unit that orchestrates future autonomous vehicle fleets, optimizes road traffic, clears the road in the event of a disaster, switches traffic