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Safe Intelligence - this forms the core brand of the Fraunhofer Institute for Cognitive Systems IKS. Connected cognitive systems drive innovation in many sectors, including mobility, healthcare, and automation in industry. Disruptive technologies such as artificial intelligence and quantum...
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scattering and runs a specialized subgroup on machine learning (artificial intelligence and deep learning) for the analysis and prediction of experimental scattering data. Currently, there are several options
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is to optimise the benefit of research advances for the patients by way of close and innovative networking of basic research-oriented and clinical neuroscience. The Project Group “Translational Deep
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of machine learning models on large high performance computing infrastructure A strong understanding of and practical experience with Deep Neural Networks for image- and time series data A strong understanding
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to analyze animal behavior or fundamental cognitive functions and their neural mechanisms. Your profile Strong background in either machine learning (especially deep learning) and computer vision or
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vision Experience in python programming and deep learning frameworks Optional but nice to have experience with object detection Optional but nice to have experience with transformer models Interest in self
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, physics, computer science, mathematics, electrical/electronic engineering or a related subject Strong programming skills (Python) Familiarity with machine learning and deep learning frameworks (e.g
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, especially Deep Learning, LLM, and multi-modal ML Experience with different data types, e.g., time series, images, or texts in the ML context Experience and confidence in using Linux (Ubuntu) and Git in
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Stipend aims to initiate and deepen international collaboration concerning critical perspectives on colonial photographs. We hope to learn more about ethical and historical issues affecting the cataloguing