755 web-development "https:" "https:" "https:" "Newcastle University" positions in Norway
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Council of Norway, is organised as a section at the Department of Geosciences. PHAB’s main goal is to develop predictive models to identify habitable planets around other stars. Within three different
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main goal, based on detailed studies of Earth and the solar system, is developing predictive models to identify habitable planets around other stars. Within three different research themes: (1) Planets
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research strand 3 «Addressing key methodological challenges». The positions are tied to CREATE’s strand 3. Strand 3 aims to develop novel methods and statistical software that are tailor-made to the research
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well as several associated partners (https://www.nnrc.uio.no/english/research-themes/rt-5/ ). The PhD candidate will be part of a dynamic and productive academic team with a large international network covering
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Take part in administrative responsibilities aligned with the needs of the Department For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/296365/associate-professor-in
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investigate, develop models and solutions for Mobile Cybersecurity, including offensive and defensive methods based on ML/AI. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs
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Is the Job related to staff position within a Research Infrastructure? No Offer Description We are looking for a highly motivated candidate interested in developing and conducting research on the topic
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of this postdoctoral position is to develop a focused and affordable measurement concept using remote sensing and in-situ approaches for river plumes in a fjord system. Measurements will be adapted with the development
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quality and development, and productivity. The Department of Mechanical and Industrial Engineering is one of eight departments in the Faculty of Engineering. Where to apply Website https://www.jobbnorge.no
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embedding longevity, material efficiency, and realistic performance limits from the start. This project develops a pioneering methodology for data-driven optimization of next-generation material systems. You