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to excellence in research, education, and innovation. Our research spans Internet of things, machine learning, signal processing, to digital twins, all with a strong emphasis on high impact research and societal
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). Our lab is a highly-creative and and dynamic Drug Discovery lab involved in cutting-edge technologies collaborating internationally on projects with other labs. We specialize in GPCR signaling and
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, provided at the bottom of the next page after you click “Apply Now”. This document will provide information of what criteria will be assessed at each stage of the recruitment process. * Please note that this
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dynamic and growing department committed to excellence in research, education, and innovation. Our research spans signal processing, machine learning, digital twins, and intelligent systems — all with a
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research, we lay the foundation for a new generation of devices that use various types of microwave-optomechanical effects for efficient signal processing. We have realized quantum-limited microwave
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Kingdom of Great Britain and Northern Ireland [map ] Subject Area: Research Appl Deadline: (posted 2025/05/13, listed until 2025/05/28) Position Description: Apply Position Description Job id: 114485 Salary: £44,355 - £51,735 per annum, including
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: Gravitational Physics Appl Deadline: (posted 2023/09/28, listed until 2025/06/02) Position Description: Apply Today is the last day you can apply for this position; no new applications will be accepted after 2025
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of the recruitment process. Please note that this is a PhD level role but candidates who have submitted their thesis and are awaiting award of their PhDs will be considered. In these circumstances the appointment will
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programming skills, in depth knowledge of MR theory, and experience with the acquisition and analysis of (preclinical) MRI data, as well as with mathematical modelling and image processing methods. Experience
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, statistical signal processing, optimization theory, machine learning and artificial intelligence. The candidate is expected to actively participate in experimental work focused on building datasets of channel