24 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"FCiências" positions at The University of Southampton
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for a Data Scientist to provide expertise to help drive the development of the University’s portfolio of programmes, including leading on market viability assessments and data analysis to support this
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, technicians and project specialists working on producing data on population distributions and characteristics at high spatial resolution. We are seeking to recruit a Specialist Technician to source, process
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, including hybrid physics-informed approaches, to improve the estimation, monitoring and prediction of hydrological variables. Big data integration: Process and fuse multi-terabyte datasets, including
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in clinical artificial intelligence and digital health About you You will have substantial practical experience in machine learning, data science or artificial intelligence, supported by a strong
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are working on a new project aiming to validate a data framework for evidence generation in the homelessness sector. This project is among a suite of projects aiming to increase knowledge and expertise within
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that applicants may seek flexible working patterns which will be considered as part of the recruitment process. For further information including key benefits designed to help maintain and support employees' well
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with an aptitude for problem solving and data analysis that relate to this exciting research program. To be successful with your application, you will need to demonstrate: An awarded PhD in environmental
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of what data to analyse first, and whether to gather additional intelligence, potentially at the cost of delay or increased risk. Addressing this challenge is becoming increasingly urgent as both the scale
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. This ambition is supported by the University’s world class facilities enabling excellent space science, space technology development, and terrestrial applications of space data. A dedicated space strategy has
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lasers and amplifiers would be beneficial for this position. You must have proven skills in the critical evaluation and interpretation of data and of working as part of a collaborative research team. The