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and automated floor-plan recognition, to fill data gaps and harmonise information from disparate sources. Learn more and watch our project video here: https://sb.chalmers.se/digital-material-inventories
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documented experience in computer vision, where the PhD project was fully or substantially method-focused on computer vision and/or AI-based image or video analysis have very strong knowledge of machine
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about life science research at Umeå University (Video ). Project description Autophagy is an evolutionarily conserved self-eating process mainly purposed to eliminate or recycle dysfunctional cellular
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Infrastructure (SBDI) and maintains the Swedish Species Observation System. Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes
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declines to consider all offers of further announcement publishing or other types of support for the recruiting process in connection with this position. *** URL to this page https://www.chalmers.se/en/about
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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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to analyse and compile data and video material from a random sample of Swedish dog owners. The long‑term goal is to create a more complete picture of the Swedish dog population – including personality types in
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will be co-funded by Cybercampus Sweden and will include mobility funds for longer secondment research visits and travels. Video about the position: https://kauplay.kau.se/media/t/0_ch1torqj We are now
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and approximately 20 doctoral candidates. Research in computer vision began in the mid-1980s and currently encompasses (i) Geometry and computer vision (including analysis of video, audio, radio, and
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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