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supervised deep learning algorithms for 3D laser data from forests Developing self-supervised deep learning algorithms for 3D laser data from forests Expand for a wider variety of downstream tasks focused
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to develop new skills independently in a structured and goal-oriented manner, and have excellent communication skills. Required: Master of Science (MSc) degree or equivalent in biology (e.g. botany, marine
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sciences, tissue engineering, cell biology, or a relevant field in biosciences. Significant hands-on experience with animal cell culture techniques including isolation and culture of primary cells, and
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university, the internationally accredited registrar and classification society DNV, and Cancer Registry of Norway. You will be analyzing and developing algorithms for privacy preserving health registry data
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algorithms for privacy preserving health registry data access. The goals of such access include supporting registry operations as well as health care research. Of particular interest in this context
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contribute to visual adaptation in wild-living mammals. We will combine optical measures and imaging of the retina with long-read sequencing of X-chromosome opsin genes within an evolutionary ecology/biology
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28th October 2025 Languages English English English The Department of Biology has a vacancy for a PhD position on upscaling of permafrost thaw-greenhouse gas emissions Apply for this job See
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algorithms to tackle complex dynamical systems. This PhD offers the opportunity to work in a vibrant research environment at the Department of Engineering Cybernetics and NORCE, alongside experts in control
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1 Oct 2025 Job Information Organisation/Company NTNU Norwegian University of Science and Technology Department Department of Biology Research Field Environmental science » Earth science
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IT programmes of study at all levels. Our subject areas include hardware, algorithms, visual computing, AI, databases, software engineering, information systems, learning technology, HCI, CSCW, IT