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Field
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. Technology & material research: Together with the team, you investigate promising new materials and process routes and thus contribute directly to innovation in this field. Test structure design & coordination
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circuits are used in sensor technology, medical technology and quantum cryptography. Photonics is one of the most exciting and dynamic areas of applied research. Building on many years of experience, the HHI
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Max Planck Institute for Chemical Energy Conversion, Mülheim an der Ruhr | M lheim an der Ruhr, Nordrhein Westfalen | Germany | 22 days ago
Job Code: VC011 Job Offer from September 14, 2026 The Max Planck Institute for Chemical Energy Conversion (MPI CEC) in Mülheim an der Ruhr investigates the fundamental chemical processes involved in
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covers the entire technological value chain—from device design and process technology to characterization—and encompasses key technologies such as the co-integration of MEMS and photonics, as
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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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correct turbulence measurements using nacelle lidar Analyze and process wind measurement data from various instruments Develop AI-based and data-driven models to correct turbulence measurements using
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of the transfer What you contribute You are currently studying computer science, mechanical engineering, robotics or a comparable field Basic knowledge of Python, ideally with PyTorch Experience or interest in
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you contribute You are currently studying computer science, robotics, mechanical engineering or a comparable field Basic knowledge of Python, ideally with PyTorch Familiar with ROS2 Interest in multi
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monitoring regarding reaction time and situational awareness What you contribute You are currently studying computer science, mechanical engineering, robotics or a comparable field Basic knowledge of Python
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environment. Our offer Highly interdisciplinary research environment at the interface of AI, computer vision, medical technology, and surgery. Close collaboration with clinicians, computer scientists, engineers