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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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resolution imaging techniques and flow cytometry to address key questions. The prospective candidate should have the knowledge to perform cell culture works and a willingness to learn and trouble shoot new
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months] Duties The appointees will assist the project leader in the research project - “WASTES to WINGS - Constructing a high-throughput Sustainable Aviation Fuel (SAF) research platform to facilitate zero
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School of Electrical and Electronic Engineering is one of the founding Schools of the Nanyang Technological University. Built on a culture of excellence, the School is renowned for its high academic
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required to analyse and improve the performance of complex systems. The role offers an opportunity to contribute to high-impact research addressing the UK’s major net-zero challenges while developing
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Center for Drug Evaluation and Research (CDER) | Southern Md Facility, Maryland | United States | about 8 hours ago
, and Python, to develop mechanistic models to simulate human pharmacology and utilize High Performance Computing for data analysis. The goal of these quantitative systems pharmacology models is to define
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student training. The position also supports the overall research objectives of the University by maintaining high standards of scientific integrity, collaboration, and compliance with institutional and
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, support faculty in grant writing, and mentor data scientists, PhD students and undergraduate and graduate interns. Key Responsibilities : Perform independent research: own a research project from
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the performance of complex systems. The role offers an opportunity to contribute to high-impact research addressing the UK’s major net-zero challenges while developing modelling and optimisation approaches with
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power grid operation considering low-probability-high-impact contingency events Job Requirements: PhD degree in Electrical Engineering or related subjects. Expert knowledge in power system risk analysis