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Full Time, Fixed Term (31/07/2028) The closing date for applications is 23.59 on 10 October 2025 Interview Date : 20 October 2025 By reference to the applicable SOC code for this role, sponsorship
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qualified in relevant subject area (or nearing completion) Good knowledge of computer vision algorithms for image and video processing Strong experience in machine learning or deep learning for medical image
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construction of pulse compression systems, and building and operating optical characterization devices. Run existing simulation codes and process their results. Helping to develop new models and algorithms
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strategies are integrated into the project (e.g., video blogs and academic workshops) and the post holder will be expected to support these activities. You will have: a PhD in cardiovascular or a related field
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collaborative environment. Unable to show this video due to your cookie preferences
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visiting off-campus locations to engage with research participants. Commitment to working within professional and ethical codes of conduct Commitment to working in partnership with people with lived
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feedback. Want to know more about us and your future colleagues? You can watch these videos: This is Aalto University! Aalto University – Towards a better world and Shaping a Sustainable Future . Read more
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these videos: This is Aalto University! Aalto University – Towards a better world and Shaping a Sustainable Future . Read more about working at Aalto: https://www.aalto.fi/en/careers-at-aalto Check out
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research aims to develop new AI for shared human-AI decision-making in healthcare imaging. This post is focused on AI-assisted ultrasound guidance building on the group’s prior work on video and multi
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of the project is to design, implement, and utilise a new beamline for ultrafast science with ultrabroadband optical attosecond pulses. The work will involve both ultrafast pulse compression and frequency