11 optimization-nonlinear-functions PhD positions at Norwegian University of Life Sciences (NMBU) in Norway
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to investigate valorization options for stabilized excavated soils from construction sites. The PhD work will be part of the research project “Don’t waste: Framework to support valorization of excavated stabilized
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in crop rotation systems. The position is a part of the project ‘Boosting Healthy Oat Feed Production in Norway’ funded by the Research Council of Norway (project no. 353201). The project is carried
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31st May 2025 Languages English English English Explore the world of light and life to optimize energy use in vertical farms PhD scholarship within plant photobiology: fluctuating light and
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evolving field. Robots can navigate fairly well, where the uncertainty in dead reckoning can be corrected by various sensor measurements (GPS, rangefinder, etc.). But in non-optimal condition (underwater
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year, allocated for teaching anatomy. The project is part of a collaboration with the Faculty of Chemistry, Biotechnology and Food Science at NMBU and with the Anatomy Department, Faculty of Veterinary
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use, and environmental conservation. These objectives are often not fully realised, leading to spatial issues such as urban sprawl, inefficient land use, and environmental degradation. This PhD position
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opportunities and challenges in the use of remote sensing for effective mapping, monitoring and management of land resources such as forestry, agriculture, rangelands, wetlands, and urban environments. Although
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the first place. The role of the KBM researcher is to determine how the main ulcer causing bacteria (e.g. Moritella viscosa and Tenacibaculum sp.) colonize the skin and ulcer and withstand the host immune
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of Mechanical Engineering and Technology Management at Faculty of Science and Technology and contribute to its development. As a student in the PhD Programme Science and Technology , you will work towards your
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Applied ecology PhD: Large carnivores in Scandinavia from individual movement to population dynamics
candidate will use advanced statistical methods and multiple data sources, including genetic data and GPS tracking, to map and quantify the movements of large carnivores (wolves, wolverines and brown bears