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researched and developed that will be used in current and future key topics. Become a part of our team and join us on our journey of research and innovation! What you will do Testing new deep learning
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-the-loop AO for high-power lasers Turbulence-resilient free-space optical communications systems Wavefront sensors based on deep learning Development and construction of new wavefront sensors You will write
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implementation, practical application, theoretical analysis and evaluation of AI algorithms Use of XAI tools to explain machine learning models Implementation of deep learning Improvement of models, e.g. in terms
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(TV-L Brandenburg). Background: Addressing climate change and biodiversity loss requires a deep understanding of global land-use dynamics and the economic trade-offs involved. We aim to develop and
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integration, and the development and application of deep learning models. A solid understanding of hybrid modelling concepts, particularly the integration of process-based models and machine learning
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Research Assistant (m/f/d) in the field of Theoretical Ecology and Evolution or Computational Biolog
-based modeling b) Modeling with differential equations c) Modeling of metabolic networks and interaction networks d) Deep learning and artificial intelligence Acquisition of third-party funding
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on "Development of AI Models for Capturing Connections in System Diagrams" is the development of deep learning models to capture connections in scanned diagrams. By the end of the work, a method should be
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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
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learning new practical techniques, approach unfamiliar topics with curiosity and structure, and quickly gain a deep understanding through analytical thinking. What you can expect With our strong links
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-driven to take a deep dive into the unknown. You’re extremely capable, using creativity and ingenuity to rise to new challenges. You’ve got an excellent M.Sc. degree in cancer genetics, molecular biology