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operator with battery storage participating in the day-ahead market and the mFRR capacity and energy activation markets. The research will investigate how probabilistic forecasts, market-state and regime
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benchmark chemometric and physics-informed machine learning models to monitor, forecast, and ultimately control critical process parameters, implanting these models in advanced control frameworks to optimize
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Is the Job related to staff position within a Research Infrastructure? No Offer Description The Hybrid Technology Hub CoE (https://www.med.uio.no/hth/english/ ) is inviting applications for a three
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for probabilistic unsupervised learning for structured biological data. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/307053/3-years-phd-position-in-probabilistic-machine
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of higher education. Please consult the GSU list for information relevant to the nationality of your degrees: https://hkdir.no/en/foreign-education/lists-and-databases/higher-education-entrance-qualification
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increasingly rely on scenarios, models, forecasts, roadmaps, and other forms of anticipatory knowledge when making decisions about energy systems, infrastructure, industrial development, and technological change
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Borlaug Faggruppeleder +4799305003 [email protected] Manjana Milkoreit Førsteamanuensis +47922 81 887 [email protected] Where to apply Website https://academicpositions.com/ad/oslo
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for changes in your work tasks after appointment Where to apply Website https://www.jobbnorge.no/en/available-jobs/job/307999/phd-research-fellow-in-gr… Requirements Research FieldTechnology » Environmental
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SINTEF Ocean; FME Martrans https://martrans.no/ and the Norwegian Maritime AI Centre https://www.ntnu.edu/mai The research is foreseen to focus on fluid-dynamic properties of the different sail types
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of battery materials in addition to the advanced knowledge in X-ray based characterization techniques. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/305695/researcher-in