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Council (ERC Advanced Grant, 101199790). More information about the project can be found here . We are looking for candidates whose research falls within one or more of the following areas: Plato´s
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Professional qualifications (required) Relevant PhD degree (e.g. computer science, machine learning, statistics) Experience in developing deep learning models for 3D point cloud data Strong programming skills
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an equivalent foreign doctoral degree approved as equivalent to a Norwegian doctoral degree Applicants must have a relevant PhD degree in plant sciences, computational biology, bioinformatics, data science, or
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dynamics or climate dynamics, basic shell scripting, and python/Matlab/R or similar languages. Experience with “traditional” climate modelling, data-driven climate modelling, and working with large ensembles
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opportunities For more information see the LEAD AI webpage or send an email to leadai@uib.no Qualifications and personal qualities: Applicants must hold a Norwegian PhD or an equivalent degree in meteorology
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the divide between big data and educational theory. British Journal of Educational Technology, 54(5), 1095-1124. Swist, T., Gulson, K. N., Benn, C., Kitto, K., Knight, S., & Zhang, V. (2024). A technical
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work upon. Suggested reading to explore this line of research further: Kitto, K., Hicks, B., & Buckingham Shum, S. (2023). Using causal models to bridge the divide between big data and educational theory
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in pursuing a Postdoc position at UNIS Full academic CV Transcripts and diplomas showing the completion of a PhD degree. Contact information for two references, one of which must be your PhD supervisor
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., Hicks, B., & Buckingham Shum, S. (2023). Using causal models to bridge the divide between big data and educational theory. British Journal of Educational Technology, 54(5), 1095-1124. Swist, T., Gulson, K