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contribute to improved animal welfare, reduced antibiotic use, and a more sustainable pig production. The PhD candidate will play a central role in the project, from laboratory method development to field
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seeking for motivated candidates that are interested in developing computer models of the composite human neuro-muscular system that combine detailed musculoskeletal geometries, muscle-tendon models and
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on to successful careers after their PhD studies at ISTA. PhD students receive support through our mentorship and career development programs which focus on training in transferable skills for academia and beyond
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modeling, develop data visualizations and dashboards, and write reports for stakeholders and the public. The Researcher may supervise graduate student researchers. The Qualitative Researcher will work
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characterize forest structure. Remote sensing data, such as images, lidar, and photogrammetric point clouds acquired from drones, aircraft, and satellites, will play a central role in the development
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on deadwood proportion, decay stages, and forest succession. This position offers hands‑on methodological development, opportunities to publish, and collaboration within a dynamic international research
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) at Norwegian University of Life Sciences (NMBU) has a vacant 3-year PhD–position related to developing deep learning models for 3D forest point clouds. The position is part of "SmartForest" (www.smartforest.no
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candidate will be involved in: a) Quantifying gamete quality, fertilization rate and embryonic development in fish exposed to fishing stress vs. non-fishing stress during spawning, by conducting both manual
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to improved animal welfare, reduced antibiotic use, and a more sustainable pig production. The PhD candidate will play a central role in the project, from laboratory method development to field sampling in pig
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) Quantifying gamete quality, fertilization rate and embryonic development in fish exposed to fishing stress vs. non-fishing stress during spawning, by conducting both manual (including microscopy techniques) and