69 software-engineering-model-driven-engineering-phd-position Fellowship positions at University of Nottingham
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Based in the Faculty of Engineering at the University of Nottingham, this role will focus on electromagnetic design, modelling and validation of microwave heating technologies for the BioIron
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of Engineering at the University of Nottingham. The position is part of a larger project in collaboration with the School of Chemistry and you will work in a highly collaborative and interdisciplinary team
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time series modelling, age-period-cohort modelling and structural equation modelling. Whilst applicants need not to be familiar with ALL of these, they ought to be familiar with ONE (and to state in
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the environmental impacts of proposed processes and compare them with conventional alternatives. • Develop process models using industry-standard software (e.g., Aspen Plus, HYSYS, SimaPro, or equivalent
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the environmental impacts of proposed processes and compare them with conventional alternatives. • Develop process models using industry-standard software (e.g., Aspen Plus, HYSYS, SimaPro, or equivalent
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setting, and what the mathematically necessary assumptions are. There are 2 positions available for this vacancy. The successful applicants will contribute to the development of results in the field
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PhD, EngD (or equivalent) in chemical engineering, chemistry or a related discipline. The post is offered on a full time (36.25 hours per week), fixed term contract until 30 June 2027. Informal
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University of Nottingham Ningbo China is seeking to recruit a Senior Research Fellow in Magnetic Resonance Imaging (OUTSOURCED) in the Department of Electrical and Electronic Engineering. Your
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groundwork for subsequent human clinical trials. You will work as part of an interdisciplinary team involving pancreatic cancer surgeons, pathologists, and engineers. There will be significant potential
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, genes, and pathways involved in sensing water in the model plant Arabidopsis. Building on our previous work (Mehra et al., Science, 2022), we aim to understand how hormone-driven pathways help roots