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these challenges by advancing machine learning (ML)-based and data-intensive methods for the scalable design, processing, and deployment of DPPs. The advertised PhD position focuses on developing ML-based and
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language technology. The goal is to develop responsible technological solutions to societal challenges like AI, fake news, echo chambers, and political polarisation. The results will be new digital tools
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development, creating complex, dynamic, interrelated systems that are constantly evolving. Stakeholders in local governance, industry, and community all have a role to play in this transformative process. By
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on childhood dementia CLN3, as part of ongoing research in the Bjørås group . About the project The current project is aiming at developing novel human models for childhood dementia CLN3 to recapitulate disease
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(Equinor, Shell and Total). An overall objective for this project is to develop and test to what degree seabed fibre optic cables can be used to monitor earthquakes and microseismic events before, during and
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Trustworthy Green IoT Software (GIoT) group in Oslo. The team develops cutting-edge methods and technologies to create trustworthy, secure, and sustainable digital solutions operating across the IoT–edge–cloud
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and has contributed excellent research in the domain of language development and language processing. The equipment includes Tobii eye-tracking systems and EyeLink 1000; EEG and fNIRS; FURHAT Robot and
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på datamaskinen, nettbrettet eller mobiltelefonen din. En cookie er ikke et program som kan inneholde skadelige programmer eller virus. Hvordan nettsiden bruker cookies Cookies er nødvendig for å få
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fisheries and aquaculture. The postdoctoral research fellow will work with fishing gear research related to research area 3 (development, testing, validation, and optimization of biodegradable gear
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