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Field
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interdisciplinary research; • an independent, well-organized, and reliable work style together with an ability and interest in working in a small team; • good interpersonal communication skills and a
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reliable, zero-emission smart local energy systems.
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for industrial applications. This includes exploring novel sensing technologies, materials, and data analysis techniques. Conduct rigorous field testing of developed sensors to ensure sensor accuracy, reliability
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discussed during the interview. Onsite location: University Office Plaza, 2221 University Ave SE, Minneapolis, Twin Cities Campus - East-bank. The successful candidate is expected to have access to a reliable
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the European Union the technological edge and independence in next generation Edge AI technology, giving citizens and corporations access to reliable, safe, secure and independent competitive Edge AI functionalities
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. The position has some flexibility for you to focus on, e.g., various aspects of the communication technologies, energy efficiency or the reliability of the system. Your application should include a clear and
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tasks. High level of independence and reliability. Demonstrated ability to publish in high-quality journals in kinesiology and/or neuroscience or related discipline. Preferred Qualifications (Knowledge
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expected to generate new research ideas and lead development of new research proposals. -You will also be expected to design and develop a cleaning-in-place (CIP) system for efficient and reliable equipment
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unfulfilled. This work has the potential to introduce greater onboard autonomy, thereby enhancing mission reliability and the satellite's nominal operational capabilities. Scientifically, you will in particular
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cleaning-in-place (CIP) system for efficient and reliable equipment cleaning. -In this position, you will collaborate with a highly interdisciplinary team within the University of Minnesota and partner