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public and community mental health. You'll: Apply advanced quantitative and quasi-experimental methods to large datasets (e.g. administrative, environmental, or health data) Contribute to high-quality
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from remote sensing data. About the Role To carry out research involving the integration of drone-based imaging, multispectral data analysis, phenotyping techniques, and the development of digital twins
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extracting useful knowledge from remote sensing data. About the Role To carry out research involving the integration of drone-based imaging, multispectral data analysis, phenotyping techniques, and the
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of priority elasmobranch species in the study area, while managing and analysing large telemetry datasets, and integrating environmental/spatial data to address key research questions on species ecology and
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with anxiety and depression. The post-holder will need to have strong programming skills (e.g. Python, R) and will take the lead on analysing physiological data and writing up studies for publication
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18 Nov 2025 Job Information Organisation/Company CRANFIELD UNIVERSITY Research Field Agricultural sciences Researcher Profile First Stage Researcher (R1) Country United Kingdom Application Deadline
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concept demonstrator. ICS is the largest academic research institute in Europe specialising in all aspects of ICT (Information and Communication Technologies). It is home to over 200 researchers with
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turbulence modelling, CFD mesh generation and use of parallel computing Have relevant experience in working with aerosols and droplets Proficient in handling large data sets and the ability to analysis and
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or Stata and a strong grasp of statistical methods, data analysis and regression modelling. You will have experience in using large complex datasets, data linkage, data cleaning, and good research writing
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large, highly diverse and multi-modal datasets (e.g., images, surveys, statistical and sensor data). Familiarity with geostatistical, GDAL, Python, PostGIS/PostgresSQL, Machine Learning, AI, Internet