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healthcare imaging. This post is focused on AI-assisted ultrasound guidance building on the group’s prior work on video and multi-modality ultrasound analysis. The appointee will be part of the Noble research
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tools, version control (Git), and collaborative coding (strong merit) Strong understanding of statistics and machine learning for high-dimensional data (strong merit) Experience with workflow management
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take place in the week of September 8th. Expected starting date is mid-October, 2025. Applications should include the following documents: A video (2-minute max) describing your scientific interests and why
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of electrophysiological, calcium imaging and video based kinematic data as well as developing biology informed self-supervised learning models. Within the predetermined research scope and methodology, conduct research
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feedback. Want to know more about us and your future colleagues? You can visit the QCD Chinema and watch these videos: This is Aalto University! Aalto University – Towards a better world and Shaping a
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Collect and manage behavioral data using video systems, telemetry, sensory testing, and other remote measurement tools Support patient scheduling and communicate with clients as needed Conduct routine
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to consider candidates who have not submitted applications during the application period. Want to know more about us and your future colleagues? You can watch these videos: This is Aalto University
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in English in one PDF file. The file must include: Application (cover letter) CV Academic Diplomas (MSc/PhD – in English) List of publications A video (3-minute max) describing your scientific
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parallel testing facilities for companion dogs and children, including equipment for eye-tracking, thermal imaging, touch screen studies, behavioral analysis from video. There is also the possibility
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research, and collaboration. Experience with sound recording equipment, sound editing as well as experience with video-filming and editing, and photography is an advantage but not a prerequisite for applying