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Field
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populations in outdoor environments. The study will primarily focus on developing deep learning-based audio analysis methods to count distinct bird calls in complex and noisy outdoor soundscapes. These calls
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protect endangered species. The overall goal of this thesis is to develop a deep learning-based system for detecting and classifying typical vocalizations of marine mammals based on recordings of passive
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) on Foundation Models and/or Deep Learning for Imaging Problems. The Professorship of Machine Learning at the Department of Computer Engineering at TUM has open positions for a doctoral researcher (TV-L E13 100
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subject with above-average grades You have very good programming skills in deep learning frameworks and Python Ideally, you already have basic knowledge of computer vision and computer graphics You enjoy
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manner, lead to performant deep network learning. Your tasks in detail: Implement a flexible data loading framework capable of incorporating multiple datasets Develop strategy to decode image-to-image as
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 2 months ago
- Deep Learning and Perturbation Models (f/m/x) 102324 Full time Neuherberg near Munich Home Office Options We are Helmholtz Munich. In a rapidly changing world, we discover breakthrough solutions
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that might optimally lead to these representation. We then aim to understand whether the obtained objectives, applied in a layer-local manner, lead to performant deep network learning. Your tasks in detail
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Quality«, we deal with the digitalization of production systems in order to increase quality, resilience and sustainability in production. The application of deep learning models to automate visual process
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description: You will contribute to the project “Digitalization of Biomaterial Research via Deep Learning Approaches” (DC10) which involves the following tasks: Preparation of model biomaterial surfaces using
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In manufacturing, a wide variety of use cases exist where Deep Learning (DL) and Machine Learning (ML) are successfully applied. Examples of use cases include the production of rockets, stem cells