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. Christoph Bareither), computer science (Prof. Dr. Carsten Eickhoff and Dr. Harrisen Scells), psychology (Prof. Dr. Sonja Utz) and Neuroscience (Prof. Dr. Kerstin Ritter), and will collaborate with several
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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 testblu, we are looking for a Student
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of computer vision technologies. Be part of change Conduct research and development in the fields of Artificial Intelligence (AI) and Machine Learning (ML) Design, implement, and evaluate AI-based methods, with
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, approaches related questions in an interdisciplinary manner (i.e., at the intersection of psychology, technology, and human–computer interaction). We welcome candidates with a strong interest in fundamental
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The Neurocomputation and Neuroimaging research group, headed by Prof. Dr. Felix Blankenburg at Freie Universität Berlin, is seeking to appoint a Predoctoral Research Associate (f/m/d)(50% part-time) at the earliest possible date. Our research focuses on cognitive processes underlying perception...
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Student Assistant (m/f/d)- Software Development for Cutting-Edge Autonomous Outdoor Robot Navigation
Advertisement for the field of study such as: Automation Technology, Electrical Engineering, Computer Science, Software Design, Software Engineering, Technical Computer Science or comparable. In
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to provide high-fidelity microclimate predictions at speeds that are much higher than physics-based numerical solvers. We are seeking a Master’s student with a background in Scientific Computing or AI
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partners as part of the Fraunhofer Corporate Benefits Program We value and promote the diversity of our employees' skills and therefore welcome all applications – regardless of age, gender, nationality
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modeling and programming for model optimization and machine-learning applications Perform material characterization of various optical glass materials What you contribute Currently studying Computational
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, cavitation will be investigated both experimentally and via computer simulation. This doctoral project is a joint initiative between the Fraunhofer ITWM »Grid-Free Methods« Department and the Department