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omics, bioinformatics, artificial intelligence, synthetic biology, bioprocess development and sustainability assessment to accelerate the discovery and sustainable production of marine and aquatic natural
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leading universities, internationally recognized for high quality in research and education. As a societal institution, we shall contribute to sustainable and democratic development and be an attractive and
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SINTEF, Equinor, and Total. The main objectives of the project include the development and the integration of signal processing and machine learning methodologies aiming to improve flow assurance via field
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requirements for applicants from outside of EU/ EEA countries and exemptions from the requirements: https://www.mn.uio.no/english/research/phd/regulations/regulations.html#toc8 Grade requirements: The norm is as
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. The topic of the doctoral research will on development of efficient and scalable search engines. This entails design of new retrieval models, efficient query processing, and use of modern hardware
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be found here: https://combatdengue.hemsida.eu/ The senior engineer will be associated with the work package 2 – DEVELOP high-throughput and super-resolution tools for virus research. The role
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development and potentially also field work. The applicants must present a description outlining the academic basis of the PhD project. The project description shall not exceed 2 pages, including reference
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who have seen a vast number of images from the CoCo-database (https://cocodataset.org ); and apply and interpret the architecture to local field potential data recorded in humans who have seen movies
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and challenging to operate using conventional voltage regulation methods. To address growing voltage variability and the limitations of traditional controllers, this PhD project proposes the development
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contribute to effective long-term climate governance. The project combines theoretical development with innovative empirical research, bringing together perspectives from climate governance, political science