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. At NTNU, 9,000 employees and 43,000 students work to create knowledge for a better world. You will find more information about working at NTNU and the application process here. ... (Video unable to load
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in Trondheim. At NTNU, 9,000 employees and 43,000 students work to create knowledge for a better world. You will find more information about working at NTNU and the application process here. ... (Video
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of the sea, with a focus on questions related to marine protected areas About the position You will primarily work on developing and applying video-based methods for monitoring fish in protected areas and
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og demokratisk utvikling og vere ein attraktiv og inkluderande studie- og arbeidsplass. ... (Video unable to load from YouTube. Accept cookie and refresh page to watch video, or click here to open
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. Your profile You have documented expertise in marine ecology and computer vision and machine learning methods for video-based fish monitoring. You have excellent IT skills and experience in handling
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the recruitment process, please contact HR Advisor, hr-elec@aalto.fi . Want to know more about us and your future colleagues? You can watch these videos: Aalto University – Towards a better world , Aalto People
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of this unusual Brain-Computer Interface. More information: (7) BRAINET: Overview | LinkedIn The doctoral candidate at Tampere University will develop tools and methods to assess the effects of the non-invasive
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) advances in imaging techniques that fuel a more detailed understanding of the brain, 2) tools from artificial intelligence that enable building better computer simulations of the brain. The lab will leverage
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CIIMAR - Interdisciplinary Center of Marine and Environmental Research - Uporto | Portugal | 3 months ago
; Experience in processing and identification of zooplankton, macroinvertebrates and fishes; Experience in laboratory analysis; Excellent communication skills in English and knowledge of Portuguese are required
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assessment instruments are combined to gain a differentiated insight into family influence processes. The project is led by Prof. Dr. Anna Kornadt (Uni Luxembourg), Prof. Dr. Michaela Riediger and Dr. Antje