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systems: (1) Event vision for low-latency human / robot co-working scenarios Convolutional neural networks for computer vision require substantial computing resources and introduce significant latencies
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groups and industry collaborators committed to advancing semiconductor devices and circuits for far-infrared applications. About Us At the Department of Microtechnology and Nanoscience , you will be part
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Doctoral student in Materials Chemistry of Doped Organic Semiconductors in EU Training Network FADOS
challenges associated with organic electronic devices and enable new components with sustainable functionalities. Training and development FADOS will offer training at the forefront of research and innovation
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devices where you will provide a key tool for efficient workflow. Information about the division and the project The Quantum Technology division focuses on experimental research in superconducting quantum
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developing data processing pipelines, such as Nextflow or similar systems. Computer clusters and distributed systems. Virtual environments, e.g., Docker or Apptainer. Methods for software deployment (e.g
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, reconstructed via X-ray computer tomography. Qualifications In accordance with the European Union’s funding rules for doctoral networks, applicants must NOT yet have a PhD. To qualify as a PhD student, you must
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Professor Grant, aimed at advancing next-generation spintronic devices. To further strengthen these efforts, the department is seeking 3 postdoctoral researchers to actively contribute to this cutting-edge
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lidar. The development is done by raytracing, Computer Aided Design and 3D printing. After calibration, the instruments will be tested in field for applications within bloodsucking disease vectors as
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Mathematics,' and 'Computer Vision and Machine Learning' at the Faculty of Engineering, as well as Mathematical Statistics, which is cross-faculty. The position is located at the Division of Mathematical
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fiber-optic communications. Our research benefits from state-of-the-art facilities for the design, fabrication, and characterization of nanoscale photonic devices. This recruitment is closely aligned with