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Climate and Biodiversity in Singapore towards 2030 and Beyond.” This position requires experience in Geographic Information Systems (GIS) and related fields, with added expertise in ecosystem services
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-world interventions. A key part of this role will be performing systematic literature searches and meta-analyses of dose–response and exposure–response data to support model calibration and uncertainty
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multibeam sonar data, topographic information, and environmental variables with deep learning techniques. You will also contribute to refining digital elevation models (DEMs) and advancing flood hazard
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Role type: Full-Time; Fixed Term until December 2028 Faculty: Faculty of Science Department/ School: School of Mathematics and Statistics Salary: Level A - AUD $85,555 - $116,094 p.a. (*PhD entry
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– Testing Models of Active Extension (TMAX) – will involve collection and analysis of new earthquake data in the Corinth Rift, Greece. The researcher will take a lead role in fieldwork during the project
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searches and meta-analyses of dose–response and exposure–response data to support model calibration and uncertainty analysis. This role offers a rare opportunity to bridge public health and building science
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numerical skills A high-quality PhD in Applied Mathematics or Theoretical Chemistry/Physics with a solid knowledge of Quantum Mechanics. This position is upto 27 February 2027, starting as soon as possible
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PhD Expert knowledge of statistical modelling, statistical inference and use of relevant software (e.g. R/Python) both for data processing, visualisation and programming. Excellent communication and
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PhD registration at Imperial College London. Experience in energy systems modelling, techno-economic analysis, or renewable energy integration Familiarity with modelling tools such as Python, MATLAB
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assistance of a mentor if required Contribute to writing bids for research funding Analyse and interpret data Apply knowledge in a way which develops new intellectual understanding Develop research with due