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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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Reading UK Contract: Full Time, Fixed Term (31/07/2028) Job reference: SRF51665 By reference to the applicable SOC code for this role, sponsorship may be possible under the Skilled Worker Route. Applicants
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By reference to the applicable SOC code for this role, sponsorship may be possible under the Skilled Worker Route. Applicants wishing to consider the SWR must ensure that they are able to meet the
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experience in machine learning and image analysis for ultrasound images and video. The successful applicant will possess specialist experience conducting fieldwork, particularly in low-resource or rural
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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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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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future colleagues? You can watch these videos: Aalto University – Towards a better world , Aalto People , and Shaping a Sustainable Future . For more information about living in Finland: https
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webpage for open positions). 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
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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