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Field
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, domain generalization, data-efficient learning, uncertainty estimation, 3D vision. Especially suitable for students with the field of study in computer science, mathematics, engineering, or similar areas
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About us: The University of Technology Nuremberg (UTN), founded in 2021, is a living laboratory for the university of the future – ready for the age of artificial intelligence and constant
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to the success of the whole institution. At the Faculty of Electrical and Computer Engineering, Institute of Communication Technology, the Deutsche Telekom Chair of Communication Networks offers a position under
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of computer science or using computer vision methods Excellent knowledge of the development and implementation of methods in the field of digitization, artificial intelligence, machine learning and/or 2D/3D imaging and
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. To achieve this, we create a rich AI-training dataset for multi-modal inferences, combining computer-vision, environmental parameter measures and DNA data. Your Tasks Participation in fieldwork in Germany
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Would you like to join our team as a student assistant (m/f/d), but haven't found a suitable vacancy? Then send us an unsolicited application! The Fraunhofer ILT offers you diverse and exciting
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Master Thesis - Development of ligand conjugated lipid nanoparticles for targeted T cell delivery...
biological samples' 3D structure and molecular identity. At iBIO, we bring together cutting-edge science from biology, chemistry, engineering, and computer applications. Our overarching aim is to obtain a
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environment The professorship will be assigned to the TUM School of Computation, Information and Technology, Department of Computer Engineering, combined with the position of the institute director at
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images and CNC-integrated camera videos. Your task will be to generate AI pipelines to detect and measure flank wear according to ISO DIN 8688-2 in centralized, individual, and federated learning scenarios
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Design Technology in Berlin has stood for excellence in production science. We are dedicated to bridging the gap between science and practice in the field of industrial production and offer application