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                13th November 2025 Languages English English English Would you like to explore AI methods for forest mapping? PhD scholarship: combining data from harvesters, remote sensing and AI to improve forest 
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                ) Positions PhD Positions Country Norway Application Deadline 19 Nov 2025 - 23:59 (Europe/Oslo) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not 
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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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                efforts to contribute to safer marine operations, we actively explore possibilities to utilize both numerical and machine learning methods to enhance the accuracy and resolution of metocean forecasts. About 
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                Full-time Hours Per Week 37,5 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer 
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                equivalent in the field of Health Economics, Economics or any other degree with major in health economics. Specialisation in methods of economic evaluation is an advantage. Experience from relevant research 
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                any other degree with major in health economics. Specialisation in methods of economic evaluation is an advantage. Experience from relevant research projects in malaria and mathematical modeling 
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                imperative, both orally and written. Documented experience with scientific programming (e.g. Python, Matlab, R; any history of activity on GitHub) as well as computational or statistical methods for data 
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                27 Oct 2025 Job Information Organisation/Company NTNU Norwegian University of Science and Technology Department Department of Computer Science Research Field Computer science Researcher Profile 
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                , and collaboration with educators, JUSTHIS investigates how multiperspectivity can support reconciliation and justice. The goal is to develop shared, sustainable teaching methods that help teachers