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shared goal: to make the world of tomorrow safer. Be part of change Implementation and application of computer vision approaches, including: Application of methods from security-relevant areas such as
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Future. Discover. Together. The Computer Vision & Graphics group of the Vision & Imaging Technologies (VIT) department is looking for a student assistant in the area of deep learning for scene
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existing technologies, 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
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on these considerations, solutions will be developed and implemented to create an advanced testing platform for the comprehensive evaluation of the long-term stability of invasive brain-computer interfaces. Your task will
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Max Planck Institute for Intelligent Systems, Tübingen, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | 2 days ago
medicine. Using unique 3D & 4D capture facilities, machine learning, computer vision and advanced graphics, we are modeling human and animals shape and behavior. Laboratory website About the position You
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: to make the world of tomorrow safer. Be part of change Implementation and application of computer vision approaches, including: object detection (e.g., using YOLO, RT-DETRv2, etc.) image classification
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and unsupervised learning, time-series analysis, computer vision, representation learning, anomaly detection, forecasting, or multimodal data processing. The goal is to design and evaluate robust and
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simulation programs to model ultrafast non-equilibrium spin currents and high-frequency spin dynamics in antiferromagnetic and topological spintronic materials, as well as to simulate THz emission from
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optical communication networks and systems, as well as machine learning, computer vision and compressing digital videos. Become a part of our team and join us on our journey of research and innovation! Be
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consistent and goal-oriented usability and design appearance What we offer Flexible working hours, 60–80 hours/month Friendly working atmosphere, nice team of computer scientists Interesting topics Opportunity