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3rd May 2026 Languages English English English Would you like to explore AI methods for forest mapping? Two PhD scholarships: Remote sensing and AI for improved forest mapping and precision forestry
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will be formulated for integration into a turbine-scale simulation framework developed in a parallel PhD project within RenewHydro. This position is financed through the Research Council of Norway and
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candidates to conduct research in the field of evidence synthesis. The projects will focus on the development of statistical methods for the synthesis of complex data. About the research group The new research
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a recruitment position with a duration of 3 years. The project aims to further develop and optimize methods within assisted reproductive technologies (ART) in pigs, including Ovum Pick-Up (OPU), in
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that an application for a PhD position at NMBU is at the same time an application for admission to a PhD program at the institution. The documentation that is necessary to ensure that the admission requirements are met
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and so on is often cost and space prohibitive. Here therefore, the focus is on methods to enable robotic platforms to perform certain tasks in collaborative mode, such that they can be shifted from task
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application for admission to a PhD programme at the institution. The documentation that is necessary to ensure that the admission requirements are met must be uploaded as an attachment. Main tasks The main
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Training:Benefit from a unique opportunity to study and collaborate across multiple European institutions, gaining exposure to diverse academic environments and policy contexts. The programme includes institutional
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, or geometric deep learning. Experience with optimization methods, numerical modeling, or simulation of complex systems. Experience with 3D modeling, CAD APIs, or computational geometry is an advantage
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programme at the institution. The documentation that is necessary to ensure that the admission requirements are met must be uploaded as an attachment. Main tasks Plan and conduct animal trials, with