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, at least a 2.1 honours degree or a master’s (or international equivalent) in a relevant science or engineering related discipline. Strong background/skills on machine learning, mathematics, probabilistic
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This project focuses on reducing aerofoil broadband noise, specifically turbulence–leading edge interaction noise and trailing edge self-noise, commonly encountered in aero-engines, wind turbines
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Grundstufe (prae doc) is € 3.714,80. Please note that the advertised Completion Fellowships are for 30 hours/week VwGr. B1 (prae doc), with relevant work experience determining the assignment to a particular
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some local travel. The post holder will be required to hold/undergo an enhanced DBS check. Informal enquiries are welcome. Please contact Dr Vic Knowland (vic.knowland@newcastle.ac.uk ) to discuss the
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to apply: Online applications are made at http://www.bris.ac.uk/pg-howtoapply . Please select ICASE Trustworthy AI For Industrial Applications on the Programme Choice page. You will be prompted to enter
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evaluation. Prognostics is an essential part of condition-based maintenance (CBM), described as predicting the remaining useful life (RUL) of a system. It is also a key technology for an integrated vehicle
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. Creation of these ABMs will advance our understanding of why evolution selects and maintains individual heterogeneity [1]. You will apply this knowledge to engineered swarm systems. Swarm systems tend
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health, and intelligent operations. It is particularly suited to candidates with academic backgrounds in Industrial Engineering, Aerospace Engineering, Management Science, Operations Research, Transport
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. select 'PhD Electrical and Electronic Engineering (full time)' as the programme of study You will then need to provide the following information in the ‘Further Details’ section: a ‘Personal Statement
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all sub-skills. International applicants may require an ATAS (Academic Technology Approval Scheme ) clearance certificate prior to obtaining their visa and to study on this programme. How To Apply You