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applicants who demonstrate substantial hands-on experience implementing, training and evaluating deep-learning models will be considered. General interest in AI or experience limited to running tutorials
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Very good knowledge of English (written and oral) Good communication skills (scientific community, the public, stakeholders, and managers) Experience in data analysis and statistical tools Preferable
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, experimental, and modelling datasets related to physical oceanography, bentho-pelagic coupling, and carbon export. • Investigate the mechanisms controlling carbon export from surface waters to the deep ocean
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of analysing data using both qualitative and quantitative methods are desired. Applicants are expected to understand certain qualitative and statistical software (e.g. NVivo, SPSS, Stata). Experience with data
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deeper, longer-term epistemic capacities through hands-on, situated experiences. Central to the project is the integration of these technologies into real classroom and laboratory settings, ensuring
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experience (if any). Guidelines for applicants can be found here. Appointment shall be in accordance with the collective labour agreement between the Danish Ministry of Taxation and the Danish Confederation