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equations into AI-based models to solve fluid sensing problems in a robust and efficient manner. Your role may include developing new optimization techniques, coding new algorithms, creating new mathematical
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optimization techniques, coding new algorithms, creating new mathematical theory, and the analysis of large data ensembles. You will write papers for submission to academic journals, collaborate with academics
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approach is the use of digital twins—virtual models that replicate a patient’s heart using mathematical equations describing cardiac physiology and clinical data (e.g., ECGs, MRI scans). However, creating
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(or equivalent) in a numerate discipline, preferably in mathematical, computational, biological, engineering or physical sciences subjects or a related discipline, with an interest in using technology to solve
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Python. The ability to write technical and mathematical documentation. The ability to work as part of a team. A Master's (MSc/MEng) in Astrodynamics, Aeronautical Engineering, or a related discipline