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huske de valgene du gjør. Du kan velge bort cookies fra Google Analytics her . Det er mulig å velge bort enkelte annonsenettverk som deler opplysninger på tvers av forskjellige nettverk her . Sletting av
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. Experience with programming, modelling, statistical analysis, or the use of data analytics, machine learning or artificial intelligence methods is desirable. Personal qualities Strong ability to follow through
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interdisciplinary work is a plus. We are looking for a candidate who: is independent thinking and enjoys working in a team has expertise in deep learning is motivated for scientific work, and has excellent analytical
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that the Research Fellow will acquire. Access to career guidance will be provided throughout the doctoral education. Research topic The PhD Fellow will join the research group in risk management and societal safety
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questions and data of CREATE. The successful candidate will conduct advanced methodological and psychometric research. Potential topics include (a) AI, machine learning, and large language models
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må du være oppmerksom på at enkelte funksjoner og tjenester ikke kan brukes, da de forutsetter at nettsiden kan huske de valgene du gjør. Du kan velge bort cookies fra Google Analytics her . Det er
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Validation with use cases. The primary use case leverages an AI-enhanced web platform for North Sámi language learning. The PhD research will develop a modular verification engine integrated into the platform
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an advantage if you have Interest in the mechanical behavior of materials. Experience with machine learning and/or programming/coding. Experience with finite element modeling from civil, mechanical, or marine
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models or (d) meta-analytic models to address complex data structures Personal skills Creativity and ability to work independently Self-motivated, eager to learn and ready to tackle and deal with
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, wearable physiological sensing, and machine learning to uncover how factors like fatigue and cognitive workload impact technician performance. Join us to develop predictive models that predict human error