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effects. The modelling technology will be leveraged to develop optimisation techniques for the operation of wind turbine arrays. The specific challenges will include understanding and modelling turbine
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project, please email Erika Mancini (e.mancini@sussex.ac.uk ) or John Spencer (j.spencer@sussex.ac.uk ) References: https://www.sussex.ac.uk/research/centres/sussex-drug-discovery-centre/ https
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options, work-life balance initiatives and support for physical and mental health. You can find more detail on all of this and more at https://www.qub.ac.uk/directorates/HumanResources/pay-reward-and
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. What you should have: A 1st degree in physics or engineering. An interest in optics, some ability in computer programming A desire to learn new skills in complementary disciplines. You will work jointly
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signal processing methods and a modelling environment, aided by unique hardware-in-the loop, to assess the detection and estimation algorithm performance and determine optimal multistatic configurations
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their operational reliability. The PhD student will combine mathematical models, in-house laboratory tests in a wind-wave-current flume (https://research.ncl.ac.uk/amh/ ) and numerical methodology to quantify
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website for more details about our research: https://lewisgroup.org.uk How to apply For informal enquiries, email Jamie at j.e.m.lewis@bham.ac.uk including a copy of your CV. Please apply through
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. The Materials for eXtremes (M4X) research group (https://more.bham.ac.uk/M4X/ ) investigates new alloys for extreme environments from fusion & fission reactors, to aerospace gas turbines and concentrated solar
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research, industry, and medical engineering. Methodology The overall aim of the project is to design and evaluate processes that integrate formal requirements and formal specification-based automated test
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polymer–drug compatibility. Training and instrument access will be provided by AstraZeneca. Integration of physical and biological performance testing Eligibility and Application Process Applications