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well as processing and analysis of biological samples in the laboratory. We primarily seek a candidate with a master’s degree in biology (animal science, molecular biology, physiology, ecology, biochemistry). The PhD
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detailed data about forest ecosystems. To convert the captured data into meaningful information about the forest environment we seek a PhD candidate who wishes to advance state-of-the-art computer vision
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. The measurement campaign on Svalbard involves a longer stay there. The collected data is to be processed and analysed in order to propose relationships between them and the weather. From these, models are to be
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to create knowledge for a better world. You will find more information about working at NTNU and the application process here. ... (Video unable to load from YouTube. Accept cookie and refresh page to watch
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qualified applicant from each of these groups is invited for an interview as part of our commitment to inclusivity and equal opportunity. For further information about the recruitment process, click here
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knowledge for a better world. You will find more information about working at NTNU and the application process here. About the position The PhD candidate will work on advanced characterization of aluminium
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7 Nov 2025 Job Information Organisation/Company NTNU Norwegian University of Science and Technology Research Field Engineering Researcher Profile First Stage Researcher (R1) Positions PhD Positions
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headquarters in Trondheim. At NTNU, 9,000 employees and 43,000 students work to create knowledge for a better world. You will find more information about working at NTNU and the application process here
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used to forecast motion. Duties of the position During the PhD project the candidate will connect analysis and processing of sensor data from ships with models describing the local environmental state as
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assessed, but it is a prerequisite that the candidate can document an obtained a relevant PhD before the hiring process is completed. Substantial bioinformatics experience with processing and analyzing NGS