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salary package, excellent pension scheme and a generous annual leave allowance, along with opportunities to develop your career in a supportive and collaborative environment. Unable to show this video due
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well as to allow video information to be shared for both marketing, analytics and editorial purposes. By accepting optional cookies, you consent to the processing of your personal data - including transfers to third
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via the external 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
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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 about working
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can watch 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
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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 our new
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dissemination of project findings through creative and conventional outputs, for example: reports, infographics, videos, social media, policy briefings and web-based resources. 2) Contributing to, and assisting
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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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are hence essential. Additional outreach and dissemination strategies are integrated into the project (e.g., video blogs and academic workshops) and the post holder will be expected to support these
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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