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not hold a doctoral degree on recruitment - May be of any nationality Candidates may have a biological or physical/materials science background, with a minimum of a 2.1 undergraduate degree, or a 2.2
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this advanced manufacturing process will open new opportunities: devices with variable mechanical and chemical properties; fully 3D-printed electronics; and devices with mechanical or electrical responses encoded
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groups: Cyber-physical Health and Assistive Robotics Technologies Computational Optimisation and Learning Lab Computer Vision Lab Cyber Security Functional Programming Intelligent Modelling and Analysis
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Supervisors: Prof Ioan Notingher (School of Physics and Astronomy) Dr George Gordon and Dr Abdelkhalick Mohammad (Faculty of Engineering) Funding: fully-funded (stipend and PhD fees) Start date
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backgrounds in Bioscience, Biochemistry, Microbiology, Biotechnology, Chemistry, Chemical/Biochemical/Process Engineering, Environmental Science, Pharmacy, Computer Science, Maths or related disciplines who
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equivalents) in Physics, Chemistry, Computer Science or related discipline. Experience in biomaterials and in vitro cell culture will be beneficial. Lead Supervisor: Galina Pavlovskaya Please email the lead
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, Physics, Computer Science or similar Enthusiasm for hands-on experiments Basic coding abilities in any language (e.g. Python or MATLAB or C/C++) Excellent communication skills The ability to work
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are widely transferrable and highly sought after in a range of industry, as well as academic career pathways. About you We are looking for someone with a background in chemistry, physics, engineering or a
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application. Real-time simulation platform skills development including Typhoon and SpeedGoat. Development of real-time digital twin (physical or Artificial Intelligent based) of electric propulsion system
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: flexible, likely start 1st October 2025, for 42 months. Candidates must possess or expect to obtain, a 2:1 or first-class degree in Engineering, Chemistry, or related physical sciences related discipline. To