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Field
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completely sustainable and future-proof. At the same time, we are developing the chips and sensors of the future, whilst also setting the foundations for the software technologies to run on this new generation
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actuators to sensors, memories, and emerging paradigms for computation. Despite their technological importance, many fundamental aspects of their behavior remain elusive, especially how their intricate domain
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Materials. Project background Magnetic materials are important for several real-world applications including motors, actuators, sensors and computation. For example, heat-assisted magnetic recording is a
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-series modeling (EEG, video, sensor data) and chemical/structural data representation (e.g. graphs, SMILES strings, molecular embeddings). Familiarity with multimodal representation learning and
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arms, tactile sensors) Familiarity with model-based planning approaches, robot force/motion control, and reinforcement learning Proficiency in programming (C++, Python), and experience with ROS
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biologging multi-sensor acoustic tags on bats and toothed whales in the wild and combine these data with array recordings, noise playbacks and phantom target generators on trained animals in the lab
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health monitoring. This will include data collection from volunteers and/or patients. The project will explore data capture with the different sensors including motion capture, radar, and others as
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, electronic circuit design characterization techniques (Raman microscopy, AFM, SEM, etc.) neuroscience biological/in-vivo sensors Experience in collaboration with biologists or medical researchers is an
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to the PPS14 (in Portuguese). Provide support and organization for the development of a smart welding pilot prototype for the project using the data acquired by the sensors during the welding process. Elaborate
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characterization and large-scale component testing, including the setup and use of conventional and advanced sensing technologies (e.g., displacement/strain sensors, DIC, fiber-optic sensing). Analyze experimental