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Field
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quantitative methods for the animal health domain. You make your insights on novel developments accessible for staff and students through consultancy on research methodology, data analysis and advanced
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scientific expertise and support to the development of ESA elements of science strategy, science policy and/or science planning, representing human research in space as a whole; Lead the definition
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-depth scientific expertise and support to the development of ESA elements of science strategy, science policy and/or science planning, representing space biology as a whole; Leading the definition
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multi-temporal spatial (big) data from multiple sources including Earth Observation data. You are comfortable programming or scripting in Python, R, or similar languages, for data analysis and for
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, especially delivered via mobile apps, ecological momentary assessment (EMA), wearable sensors. Some experience with programming or data analysis (e.g., R, Python) is advantageous. Scientific writing: Good
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and characterisation of photonic component subsystems and active optical instruments, such as detectors and lasers operating in the UV to FIR wavelength ranges, fibre-optic sensors, lidars, optical
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security component Experience in managing and monitoring industrial activities (interfaces with industry, reviews, etc.) Experience of system performance modelling and simulation, including validation with
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requirements. the definition and pre-development of optical instruments, including breadboarding of critical elements for technology development and risk retirement. the performance modelling and development
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related to satellite development risk, analysis and the implementation of changes, waivers, deviations, anomalies and alerts leading to recommendations for space segment-level decisions for the G2 project
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represent RSM at (virtual) recruitment and admissions events, collaborating with colleagues to ensure a seamless process. You will also prepare reports and carry out admissions data analysis to track and