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orientation. Relevant projects may make use of large-scale survey data, administrative or register-based data, repeated cross-sectional or longitudinal designs, evaluation studies, or combinations
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. Relevant projects may make use of large-scale survey data, administrative or register-based data, repeated cross-sectional or longitudinal designs, evaluation studies, or combinations of these. Applicants
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collaborative research environment at UiA focused on robust inference about ecological and evolutionary change in human-influenced systems. Researchers work with complex data from diverse marine and terrestrial
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processes. Previous experience with data assimilation and numerical modeling will be regarded as positive in the selection process. Experience in automated processing of large data volumes. Experience with
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1st October 2026 Languages English Norsk Bokmål English English PhD Research Fellow in Information Systems on AI, Digital Platforms, and Extremism Apply for this job See advertisement About the
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associated health risks. Together with supervisors, the PhD Research Fellow, will contribute to the finalization of the test protocol and will be responsible for collecting physiological data that provide
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. Relevant projects may make use of large-scale survey data, administrative or register-based data, repeated cross-sectional or longitudinal designs, evaluation studies, or combinations of these. Applicants
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processes. Previous experience with data assimilation and numerical modeling will be regarded as positive in the selection process. Experience in automated processing of large data volumes. Experience with
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, the Norwegian Directorate for Higher Education and Skills (HK-Dir), the EU, and others. Responsibilities Project Description In this position, you will explore how learning-based control (data-driven control
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of asphalt mixtures, field data analysis and calibration using case-road tests. The candidate will work in close cooperation with the Norwegian Public Roads Administration (Statens Vegvesen) to achieve