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Are you passionate about pioneering neurotechnology to transform lives affected by chronic pain? Join the University of Oxford’s EPIONE programme, a six-year EPSRC-funded initiative that brings
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centres for aeroacoustics research. The successful candidate will join a dynamic and collaborative research environment supported by state‑of‑the‑art laboratories, high‑performance computing facilities and
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, meaning that familiarity with one or more cloud-based platforms such as Google Earth Engine, Microsoft Planetary Computer and/or Amazon Web Server/similar is essential. It will also involve the development
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centres for aeroacoustics research. The successful candidate will join a dynamic and collaborative research environment supported by state‑of‑the‑art laboratories, high‑performance computing facilities and
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England. Attracting and retaining high-calibre people is fundamental to our continued success. The Role Are you interested in applying machine learning and computational methods to address real-world
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findings at international conferences. Required qualifications and experience: To succeed, you will hold a PhD (or be close to completion) in Computer Science, Applied Mathematics/Statistics, Physics
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admission criteria for Aalto’s Doctoral Programme in Engineering as specified at Aalto Doctoral Programme in Engineering | Aalto University . What we offer The preferred staring date for this position is in
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Evaluation of a family intervention. The evaluation is being funded by the National Institute for Health and Care Research Three Schools Prevention Research Programme. We invite applications from candidates
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: Computational materials modeling: DFT, molecular dynamics, phase-field modeling, or multiscale simulations. Data-driven materials discovery: ML models for property prediction, materials design, or synthesis
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We have an opportunity for a Research Assistant to contribute to a programme of research, RIPPLE, led by Dr. Beatriz Goulao and aiming to improve the sustainability of the health services by