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focus on biometrics, with special emphasis on computer vision and machine learning. As one of our research associates, you will also be part of the National Research Center for Applied Cybersecurity
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projects Prior experience in computer vision, image analysis, or machine learning Strong programming skills in Python and experience with deep learning frameworks such as TensorFlow or PyTorch Prior
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neuroscience and computer vision (Wolf), and neural recording in free-ranging mouse lemurs in the laboratory (Huber), we aim to investigate key features characteristic of early primate vision. Your profile: A
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PhD studentsin machine learning, computer vision, or a related field to perform an 'industry sabbatical' for 5-10 months. At BCAI we build the foundation to generate real-world impact through cutting
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Description The research team at the Bosch Center for Artificial Intelligence (BCAI) provides the opportunity for candidates currently enrolled as PhD students in machine learning, computer vision, or a related
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frameworkslike PyTorch2) Practical experience in advanced computer vision and deep learning applications3) Knowledge of MATLAB, C/C++ and fluorescence imaging is beneficial but not mandatoryMinimum Qualification
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is currently possible. As a part of the Bosch Research Computer Vision Lab and the Bosch Center for Artificial Intelligence in Hildesheim, you collaborate with Bosch as well as with academic research
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Max Planck Institute of Animal Behavior, Radolfzell / Constance | Radolfzell am Bodensee, Baden W rttemberg | Germany | 2 months ago
are invisible, dynamic, patchily distributed, and highly unpredictable. The project combines real-life 3D GPS bird tracking and drone and computer vision technology to explore the availability of thermal updrafts
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computer vision technology to explore the availability of thermal updrafts. We will use drones to autonomously gather data on terrain, land use, and other environmental factors to explore the dynamic
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Max Planck Institute of Animal Behavior, Radolfzell / Constance | Radolfzell am Bodensee, Baden W rttemberg | Germany | 3 months ago
are invisible, dynamic, patchily distributed, and highly unpredictable. The project combines real-life 3D GPS bird tracking and drone and computer vision technology to explore the availability of thermal updrafts