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Employer
- Technical University of Munich
- Chair and Institute of Man-Machine Interaction
- Fraunhofer-Gesellschaft
- LEUPHANA UNIVERSITY OF LUENEBURG
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- European Molecular Biology Laboratory (EMBL)
- Forschungszentrum Jülich
- GFZ Helmholtz-Zentrum für Geoforschung
- Leibniz-Institut für Analytische Wissenschaften – ISAS – e.V.
- Ludwig-Maximilians-Universität München •
- Max Planck Institute of Molecular Cell Biology and Genetics, Dresden
- Saarland University •
- University of Tübingen
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analysis, ideally using Python-based tools and frameworks, with familiarity in areas such as statistical modelling, machine learning, computer vision, or optimisation approaches for experimental systems
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learning is required; familiarity with contrastive learning, computer vision, or geospatial data is welcome Very good programming skills (Python, C++, etc.) are essential Fluent English language skills
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infrastructure to research solutions and to transfer our knowledge to society. We are doing this according to our vision: “Taking the pulse of our Earth to safeguard a habitable planet”. For section 4.3 Geoenergy
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on security that combines the subjects of law, economics, political science, and psychology. Premised on a broad conception of security that goes beyond the traditional focus on the military security of states
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Top-ranked Master's degree in robotics, computer vision, system control, machine learning, mathematics, or a related field (background in any of the following); Being excited to make a real impact with
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skills, preferably some experience with PyTorch. Ideally, knowledge in computer vision and object detection/segmentation. Motivation to independently delve into new and current research topics. Willingness
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experience with PyTorch. Ideally, knowledge in computer vision and object detection/segmentation. Motivation to independently delve into new and current research topics. Willingness to work with erotic
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vision, etc.) has had a huge impact on life science, proving that this field is constantly changing. The mission of QMB is to provide young scientists with the skills and resources to excel in this new
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algorithms and data structures, machine learning, computer graphics and vision, database systems, artificial intelligence, logical methods, programming languages, computer architecture, and security, to name
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, interns, and PostDocs at the intersection of computer vision and machine learning. The positions are fully-funded with payments and benefits according to German public service positions (TV-L E13, 100