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computer vision method for medical image analysis principally in oncology or pathology, with a possible focus on generative AI, explainability, multi-modality. Candidate’s profile A good Bachelors degree
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Fixed-term: The funds for this post are available for 3.5 years in the first instance. Dive into the future of visual technology with a studentship at the forefront of modern imaging science, where
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. What you should have: A 1st degree in physics or engineering. An interest in optics, some ability in computer programming A desire to learn new skills in complementary disciplines. You will work jointly
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, please see the student information and admission criteria at https://www.aalto.fi/en/study-options/aalto-doctoral-programme-in-electrical-engineering . How to apply? Please submit your application through
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(computer vision technologies). The interdisciplinary nature of this PhD will require the integration of environmental science, engineering, and community science methodologies. Supervisors: Primary
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The project: The focus of this project is on the novel and exciting concept of multi-rotor wind turbines; a new design paradigm for wind energy, that is attracting an increasing amount of attention
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developer and user meetings. You will acquire skills in programming (e.g. Python, FORTRAN, bash) development of quantum chemistry software and stand-alone tools a wide range of computational and quantum
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well as reliability in extracting target features. The project covers UK tuition fees and the standard UKRI PhD stipend and it is co-funded by the Quantum Hub in Sensing, Imaging and Timing (QuSIT) and BAE Systems
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Home rate and provide a stipend of no less than the standard UK Research Council rate (currently set at £20,780 p.a.) for 3.5 years. Please note the eligibility criteria set out by the UKRI at: https
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Faculty of Health, Science and Technology 3 Year, full-time PhD studentship Eligibility: Home UK/EU and International applicants Bursary p.a: The stipend is at the UKRI rate (currently £20,780