135 algorithm-development-"Multiple"-"Simons-Foundation"-"Prof"-"UNIS" positions at University of Nottingham
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PhD project: Modelling Resilience of Water Distribution Networks Supervised by Rasa Remenyte-Prescott (Faculty of Engineering) Aim: To develop an modelling approach for assessing water network
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of international excellence. Develop research objectives and proposals for own and/or collaborative research area. Prepare papers for publication in leading journals and/or contribute to the dissemination
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Management practice and policies. The first project, PROBITY, is developing a Platform to Rate Organisms Bred for Improved Traits and Yield. The successful candidate will work closely with Dr Stacia
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of Nottingham is a core partner in the ARPA-H BREATHE programme’s SCALE project, an international collaboration developing the world’s first real-time infection-risk management platform for indoor environments
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, an international collaboration developing the world’s first real-time infection-risk management platform for indoor environments. You will contribute to Technical Area 2 (Respiratory Risk Assessment), developing and
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Academy at the University of Nottingham is a unique network for researchers and the staff who support them. It provides training, leadership, and professional development opportunities for researchers
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), developing and validating models that quantify infection risk in buildings using airflow and pollutant transport modelling. This role focuses on linking building performance, ventilation design, and pathogen
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develop inclusive rural road infrastructure in developing countries. The successful candidate will have the chance to engage in the development of novel research methods, extend their research portfolio and
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years). This role offers an exciting opportunity to collaborate with NTEC’s internationally recognised academic team on project funded by the Royal Society to develop inclusive rural road infrastructure
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. Project Overview The project focuses on developing and applying advanced CFD models for aeroengine oil systems. There will also be opportunities to integrate machine learning techniques for building lower