479 algorithm-development-"Multiple"-"Simons-Foundation"-"Embry-Riddle-Aeronautical-University" "Prof" PhD positions in United Kingdom
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Field
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the detection of real versus AI videos. The focus has been from single disciplines (e.g., Masood et al., 2022), and typically technical in nature. By drawing on multiple modalities within video (i.e., visual
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information from high-quality videos that share content with distorted footage as constraints in the learning process of modelling algorithms. This method uses the characteristics and knowledge embedded in high
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-rounded academic background ◾Demonstrated ability to develop precision mechatronics system and algorithms ◾Ability to develop kinematic and/or dynamic analysis of mechanical/robotic systems ◾Ability
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, tim.tang@manchester.ac.uk Dr. Samuel Draycott, samuel.draycott@manchester.ac.uk Prof Peter Stansby, BA, PhD, DSc, CEng, FICE, FREng, MIAHR p.k.stansby@manchester.ac.uk Candidates must have a 1st or a high 2i
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, non-invasive device to monitor dehydration in a clinical and non-clinical setting. The aim of this project is to pursue research and development in a sensor system for continuous monitoring
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contact the supervisors; Dr Mingfei Sun - mingfei.sun@manchester.ac.uk and Prof Samuel Kaski - samuel.kaski@manchester.ac.uk . Please include details of your current level of study, academic background and
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Supervisory Team: Prof Middleton, Prof Altamirano PhD Supervisor: Matt Middleton Project description: Black holes grow by accreting material through a disc which is bright across the EM spectrum
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. This exciting project will focus on designing, constructing, and testing synthetic cells with multiple sub-compartments. Just like their living counterparts (i.e. eukaryotic cells), synthetic cells with different
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, researchers, patients and activists have formed around environmental sustainability in healthcare; in many instances these span multiple professional groups and organisations. Further research is now needed to
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literature relating to injury risk mitigation in relation to full-time women’s football. The candidate will also develop a multifactorial approach to monitoring responses to training and match-demands of full