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diversity of platforms (e.g., ground stations, unmanned aerial vehicles, fixed wing aircraft, as well as satellite imagery). It is also expected that the post holder will advise on- and develop- models
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aging and aging-associated diseases. We use a combination of models (e.g. C. elegans, mouse, iPSCs) and techniques (e.g. gene editing, nanobody generation, small molecule screens) to identify, assess, and
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/analytical models of floating structures. Prepare project reports and publish scientific papers in peer-reviewed journals. Assist the PI in preparing research proposals and supervising research students. Job
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will focus on efficient probabilistic analysis of high-dimensional and dynamic systems, including advanced sampling, surrogate modelling, and AI or machine-learning methods where appropriate. Key
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for one year and may be extended, subjected to performance and availability of research funding. Key Responsibilities: Develop state-of-the-art and innovative models and algorithms to improve port and
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Primary Purpose: Applicants are invited for the position of Post-Doctoral Fellow to undertake research to apply a new land surface hydrological model in the Canadian Rockies and evaluate its
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foundation performance with renewable thermal energy exchange. Based within the University of Surrey's School of Engineering, the successful candidate will lead the project's computational modelling strand
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. Experience in multiscale modelling approaches would be highly desirable. The successful candidate will integrate computational structural biology approaches with experimental data, including X-ray
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funding Support research data management and documentation Job Requirements: PhD degree in Mechanical/Electrical Engineering or related field At least 1 years of relevant experience in scientific research
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related areas. Develop new theoretical models, methodologies, and algorithms. Publish research outcomes in leading peer-reviewed journals and conferences. Prepare grant applications, technical reports, and