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Discipline: Engineering & Technology, Materials Science, Mechanical Engineering Qualification: Doctor of Philosophy in Engineering (PhD) This project is a collaborative research effort between
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information or questions about this PhD please contact nicola.love@ukhsa.gov.uk . To be considered for this PhD please send a copy of your CV and a personal statement up to 500 words explaining your suitability
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collaboration is expected. Salary ranges: Research Assistant: £33,002 - £35,608; Research Associate £37,694 - £46,049. Fixed-term: The funds for this post are available for 12 months in the first instance. To
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optical setup construction. They will make use of commercial simulation software to test electromagnetic designs, algorithmic coding to design metamaterials, fabrication techniques to produce
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Predictive Control (MPC) algorithms, innovative coalition-formation techniques, and validate these through high-fidelity simulations. You will design, implement and validate innovative data-driven economic
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optical setup construction. They will make use of commercial simulation software to test electromagnetic designs, algorithmic coding to design metamaterials, fabrication techniques to produce
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curriculum vitae. Please also send a copy of your full application directly to Prof Kendrick.
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similar languages) Experience with large-scale neural network simulations Experience with analysing large-scale neural recordings Familiarity with neuroanatomy and neurophysiology Knowledge of dynamical
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experience in developing computational models and implementing models for computer simulations. Software development in C++ and/or Python is expected, and experience in model analysis and parameter
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of Europe’s leading academic departments of population health sciences. The post will suit researchers interested in understanding computers energy usage to improve carbon footprint monitoring and reduce the