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Description You will: * Lead MEG head-cast data collection for a visuomotor reaching/interception study, ensuring robust synchronization with video-based kinematics and eye-tracking, and enforce rigorous
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? Please apply no later than 23 November 2025 via the application button and upload the following documents: CV (in English) Cover letter (in English) to highlight how your skills match the profile A video
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to interview letter. Candidates may interview in person or also via video link – Microsoft Teams. General Recruitment Timelines Please note that applications for all vacancies must be submitted online
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of developing cutting-edge deep learning models for real-time image and video analysis (e.g., segmentation, object tracking, reinforcement learning), with applications to medical imaging and robotic systems. In
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application A current curriculum vitae. A sample related to the fellowship theme (one published article, book, chapter or multimedia video documentation of artistic practice). A 100-word abstract describing
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on processing and developing representation models for diverse data sources, including time-series data (EEG, video, mass spectrometry) and chemical data (molecular graphs, SMILES strings) related to odorant
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to create knowledge for a better world. You can find more information about working at NTNU and the application process here . ... (Video unable to load from YouTube. Accept cookie and refresh page to watch
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others.) Training activities: languages, mentoring programme, wellbeing programme. International environment Estimated Incorporation date: November 2025 La publicación/resultado/equipamiento/video
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Translating deep learning models into clinical settings Experience developing deep learning models for real-time image/video segmentation, object tracking, 3D reconstruction, super-resolution. Have a passion on
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) contact info of two references together with 3) a strong motivation letter, and 4) a weblink to a short video introducing yourself. The selection committee reviews new applications on a bi-weekly basis. If