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(applied mathematics, software engineering, and medicine), it is expected to refine the scope and goals of the project with the selected applicant, depending on technical skills and personal interests
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a doctorate. We are looking for: candidates with a Master’s degree in mathematics or a closely related field and with a strong background in probability theory. Prior knowledge in spatial stochastic
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international conferences and to collaborate with other academic and industrial partners. The ideal candidate holds a Master’s degree in Robotics, Control Theory, Mechanical Engineering, or Applied Mathematics. A
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writing and presentation skills. At the start of the PhD, having obtained a Master’s degree in a relevant field, such as AI, mathematics, physics, (computational) neuroscience, etc.. Terms and conditions
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Engineering, or Applied Mathematics. A background in system dynamics, modeling, or control is essential; prior experience with soft robotics or experimental work is a plus but not required. We value
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applicants only Due to funding restrictions, this scholarship is open to applicants eligible to pay tuition fees at the UK rate only, as defined by UKCISA (Full list of categories for HE in Wales) PhD
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to pay tuition fees at the UK rate only, as defined by UKCISA (Full list of categories for HE in Wales) PhD: Applicants for PhD must hold an undergraduate degree at 2.1 level (or non-UK equivalent as
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interfacing of the sensors. The PhD candidate will work at the Integrated Devices and Systems (IDS) group within the Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) at the University
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related field. Strong affinity (e.g. via advanced courses or projects) with first-principles mathematical modelling of thermal systems, model reduction, system identification, machine learning. Programming
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computer science, data science, mathematics, or statistics. Practical or theoretical knowledge in automated synthesis/robotics. N.B. The candidates selected for interview will receive a preliminary assignment