704 engineering-computation-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" positions at University of Sheffield
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Computationally efficient modelling & simulation and applications School of Electrical and Electronic Engineering PhD Research Project Self Funded Dr Lingzhong Guo Application Deadline: Applications
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this highly interdisciplinary team, comprising engineering and medical academics, including device design engineers from Sheffield’s world-leading Advanced Manufacturing Research Centre (https
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(or international equivalents) in Chemistry, Computer Science, Engineering or Physics, we would like to hear from you. If you have not previously been educated in English, you will be required to provide evidence of
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, with an active programme of seminars and a journal club. Funding Notes This project is for Self-funded students or students with external funding. References https://gravity
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entry requirements and research at the University of Sheffield, and how to apply visit our school’s webpages at https://www.sheffield.ac.uk/biosciences/postgraduate/phd Science Graduate School As a PhD
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microbiological culturing, molecular skills, bioinformatics and statistics. The project is flexible and can be guided by the interests of the student. Please apply for this project using this link: https
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Overview As the Process Engineer reporting to the Technical Manager: Nano Technology, you will have responsibility for developing processes, recipes and training users in a large variety of
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field. This approach is related to data assimilation, allowing for better prediction, control, and optimisation of turbulent systems in engineering, energy, and environmental applications
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student will gain experience across different disciplines including engineering, and neuro-computation. We require applicants to have either an undergraduate honours degree (1st) or MSc (Merit
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molecular detail. You will use a combination of structural computational/artificial intelligence approaches, protein biochemistry and single-molecule techniques, such as optical tweezer assays and single