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Field
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modelling using Delt3D software. The role of the researcher is to perform physics-based modeling to build a numerical model that can predict storm surges in Singapore coastlines based on different weather
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of microbiome dysbiosis in human health and disease. The project focuses on deciphering how imbalances in the gut microbiota contribute to chronic inflammatory conditions, colorectal cancer (CRC), and immune
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. The successful applicant should have expertise in atmospheric modelling, eclipse mapping and/or interpreting exoplanet atmosphere observations. The work will include: Working within an STFC small award grant
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to join the Environment & Health Modelling (EHM) Lab (https://www.lshtm.ac.uk/ehm-lab ) led by Prof Antonio Gasparrini. The successful candidate will work on the project CONNECT – Cohort and environmental
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Islander peoples. What You’ll Do Lead and support research activities within a high-impact cancer prevention project. Co-design culturally appropriate screening models with Indigenous and rural communities
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), framed in the Next Generation EU, for the period 2021 - 2026, under the following conditions: . SCIENTIFIC AREA: Mechanical Engineering . RECIPIENTS: Holders of a Master's degree in Mechanical
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upholding the values of equity, diversity, and inclusion and will assist us to expand our capacity for diversity in the broadest sense. In addition, to correct the conditions of disadvantage in employment in
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with reference number BI|2025/749 under the scope of the Project CARMA – Refª 101168355 funded by European Commission – Program Horizon Europe, is now available under the following conditions: OBJECTIVES
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researcher with a strong background in hydrology, numerical/analytical modeling, programming, and data management/analytics is needed to support existing and forthcoming projects in the BEG hydro group
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to join the Environment & Health Modelling (EHM) Lab (https://www.lshtm.ac.uk/ehm-lab ) led by Prof Antonio Gasparrini. The successful candidate will work on the project CONNECT – Cohort and environmental