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PhD degree in civil, mechanical, or electrical engineering, computer science, or a closely related field. A desire to engage in cross-disciplinary research at the intersections of civil, mechanical
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-based sensor data to enhance the prediction of peatland soil properties and functions. You will focus on leveraging machine learning/deep learning techniques along with explainable artificial intelligence
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-based sensor data to enhance the prediction of peatland soil properties and functions. You will focus on leveraging machine learning/deep learning techniques along with explainable artificial intelligence
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Max Planck Institute of Biophysics, Frankfurt am Main | Frankfurt am Main, Hessen | Germany | 2 months ago
Planck Institute of Biophysics is seeking for highly motivated PhD student and Postdoctoral Researcher (2 positions – f/m/d) to study genome organizing macromolecules, including Structural Maintenance
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nanomaterials to novel cellulose-based textiles. Key responsibilities Conduct a comprehensive sustainability background analysis of different material options for optically adaptive textiles including sensors and
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coil patterns and core geometries, to reduce coil loss in HPMCs You will also contribute to teaching and supervising BSc and MSc student projects, and be co-supervisor for PhD students. Anyone who: has a
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research section comprised of over 50 members dedicated to advancing micro- and nanotechnology-based sensors, detection systems, and drug-delivery devices. If you are a highly motivated individual with
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in Germany, to create powerful THz receivers. This outcome will not only create a step change in signal-to-noise performance but will allow scaling of the sensors to create multielement arrays
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Postdoctoral Research Associates to support multidisciplinary research on (1) Performance prediction of large-scale concrete dams using machine learning techniques, 2) Fiber-optic sensor-based monitoring
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, and Simultaneous Localization and Mapping (SLAM) is desired. The position is open to PhDs with background in robotics, controls, AI, and/or computer vision. The candidate is expected to work in a highly