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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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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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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! What
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in Computer Vision • Experience in nonlinear Optimization The weekly working time is 10-20 hours. The position is initially limited to three months, an extension is intended. We value and promote
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sensing. Of particular interest are modelling and numerical simulation methods at the electromagnetic-field level that enable the computer-aided design of critical components in complex, integrated quantum
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optical communication networks and systems, as well as machine learning, computer vision and compressing digital videos. As part of our project with the start-up TwinCloud, we are looking for a Student
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Max Planck Institute for Intelligent Systems, Tübingen, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | about 1 month 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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production processes for semiconductor and nanotechnologies based on computer simulations. In this department, the group Atomistic Simulation of Materials studies material properties, related atomistic
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optical communication networks and systems, as well as machine learning, computer vision and compressing digital videos. The Sustainable and Modular Networks (SMN) working group operates in an international
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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