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well as within a team, to ensure proper operation and maintenance of equipment. Job Requirements: Master or Ph.D (preferred) in Mechanical Engineering, Marine and Offshore Engineering or related fields. Strong
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of the project ‘HEavy Precipitation forecast Post-processing over India with Machine Learning’ (HEPPI-ML), which is funded through the ‘Weather and Climate Science for Service Partnership ’ (WCSSP
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, computer vision, and predictive modelling, alongside excellent IT, analytical, interpersonal and communication skills in spoken and written English. You must be able to collect, process and present data with
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accepted by the automated system until 10pm of the closing date. Any queries regarding the application process may be addressed to jobs@lshtm.ac.uk . Please quote reference EPH-EPED-2026-01. The supporting
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clearly articulated agenda that situates Africa within wider global, comparative, and transnational processes. Applicants from across the social sciences and humanities are welcome. The Role
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accepted by the automated system until 10pm of the closing date. Any queries regarding the application process may be addressed to jobs@lshtm.ac.uk . Please quote reference EPH-EPED-2026-01. The supporting
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candidates will be given the opportunity to talk to a member of staff representing women, BAME, LGBTQIA+ or disabilities communities. This will be separate to the assessment process and will play no role in
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economic impacts across the project and developing a common understanding of the requirements for quantifying inputs and outputs from all steps within ReLiB processes. This momentum will continue to drive
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conferences in areas of machine learning, computer vision, and Large Language Models and high-impact specialist peer reviewed academic journals. • Ability to conduct interdisciplinary research activities
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AI models to automate QA/QC processes, enabling real-time verification, anomaly detection and consistency checks across records. Develop a cloud-based verification platform for digital data collection