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Field
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interference. Identify and minimize coupling of these environmental disturbances into detector systems. Evaluate optimal sensor placements and perform coupling measurements before and during each observation run
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leading work to accelerate aspects of atomic systems miniaturisation to boost sensor capabilities across the range of being developed. FTE:1 Term: Fixed Term (24 months) Applications are invited for a
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. (Required) Familiarity with modern data acquisition equipment, associated technologies, sensors, interfaces, analysis tools, software, and scientific programming languages (e.g., Python) used in instructional
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graduate to work full time on a 2-year Knowledge Transfer Partnership (KTP) to develop an advanced Multi-Sensor Condition Monitoring System (MSCMS) for enhancing the Offshore Wind substation Platforms
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an advanced Multi-Sensor Condition Monitoring System (MSCMS) for enhancing the Offshore Wind substation Platforms through a multi-sensing environment with reliable on-shore data communication. Employed and
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, engineering, and optimization of imaging sensors and their operating modes, typically working in wavelengths from 120 nm to 5 µm. Design, develop, and implement detector interface and control electronics, real
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of the novel methods created within our research group. Your primary tasks will include: - Assisting in the research taking place in our group. - Collaborating with our researchers to translate new algorithms
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development pertaining to chemical and biological detection. You will gain experience with algorithms, data analysis, Deep Learning, Python, pytorch and /or tensorflow, NLP, genetic algorithm, computer vision
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Developing and integrating AI algorithms into the real development progress Preparing academic publications such as patent applications and research papers Contributing to quarterly and annual report writing
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submission to journals and conferences. Present research findings at seminars, conferences, and scientific venues. Develop innovative and robust machine learning algorithms to personalize interventions