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Are you a power electronics engineer, or an engineer with a practical background in radio frequency electronics, analogue electronics, pulsed power, or sensor development, looking to apply your
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management systems. Integrate remote sensing (satellite, airborne, UAV), hyperspectral/multispectral data, and proximal sensors into modeling workflows for crop status assessment, stress detection, and yield
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are not limited to: (1) Embodied AI and Machine Learning for Robotics; (2) Multi-Robot Systems; (3) Human–Robot Interaction; and (4) Robot Perception and Sensor Fusion. The selected candidate is expected
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, thermal management systems, and optical sensors. The ideal candidate is someone who enjoys a hands-on learning environment. Strong documentation skills are an essential for a successful candidate in this
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. Experience applying data assimilation and using observations from in-situ sensors or satellite products (e.g., gross primary productivity, leaf area index, yield, GHGs, etc.) to quantify productivity and
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quantum sensors, leveraging state-of-the-art electron microscopy facilities at the Condensed Matter Physics and Materials Science Department (CMPMS) and the Center for Functional Nanomaterials (CFN
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experience, education, and qualifications Contract Type MUS If other, please specify Recruitment Type Open Position Details General Statement NORM ASBJORNSON COLLEGE OF ENGINEERING (https://coe.montana.edu
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including 16 PhD students trained in several European countries (https://cordis.europa.eu/project/id/101227338 ). You will be appointed for three years, during which time you will study for a fee free PhD
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reactive transport models. Synthesize results in presentations at conferences and journal articles. Where to apply Website https://seuelectronica.upc.edu/en/procedures/call-for-recruitment-of-research-s
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platform using AI. Involve in the development, implementation of the platform, as well as integration with multi-modal data from electronic health records, medical images, and sensor data from wearable