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the Department of Mathematics & Statistics (https://www.reading.ac.uk/maths-and-stats/ ) About the project/work tasks: This position is part of: 19 PhD Fellowships available in Digital Endocrinology in the Marie
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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. About the position The PhD research project is part of the new Norwegian Maritime
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of maturity, this technology requires to experiment a change of paradigm to guarantee a sustainable development for the years to come. One pathway to achieve this paradigm shift relies on the development
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have familiarity with super-resolution and high-content imaging and microscopy-based analysis for drug response validation. Experience in mass spectrometry-based proteomics, transcriptomic and other
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. 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. ... (Video unable to load
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Computer science Engineering » Computer engineering Technology » Information technology Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 10 Feb 2026 - 23:59 (Europe/Oslo
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students work to create knowledge for a better world. You will find more information about working at NTNU and the application process here. About the position We are seeking a highly motivated PhD candidate
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mathematics, data and computer sciences, and biomedical engineering. The PhD candidate will be based at the Department of Mathematics & Statistics (https://www.reading.ac.uk/maths-and-stats/), which has a long
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students work to create knowledge for a better world. You will find more information about working at NTNU and the application process here. About the position A PhD position, fully funded for three years
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processing and analyzing neural imaging data including calcium or voltage imaging. Techniques used in cellular and molecular neuroscience (e.g. optogenetics, cell patching, virus design). Documented experience