14 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"Dr" Fellowship positions at University of Stavanger
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comprehension. The PhD student will collect and analyse quantitative data (surveys, ratings, physiological data, reading comprehension) collected in a selection of classes in upper secondary schools. Project
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logging-while-drilling (LWD) measurements provide new information about geological details around the bit, resulting in continuous reassessment and possibly correcting the well trajectory. These adjustments
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information More information on the position (and project description) can be obtained from Head of department Silje Haus-Reve, tel: +4751832782, e-mail: silje.haus-reve@uis.no or project leader Olga Gjerald
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documentation on competence in English if this is required publications or other relevant research work Applications are evaluated based on the information available in Jobbnorge at the application deadline. You
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documentation that you consider relevant Applications are evaluated based on the information available in Jobbnorge at the application deadline. You should ensure that your application shows clearly how your
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this is required publications or other relevant research work Applications are evaluated based on the information available in Jobbnorge at the application deadline. You should ensure that your application
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information More information on the position (and project description) can be obtained from Head of Department Tore Markeset, tel: 518 321 91, e-mail: tore.markeset@uis.no or Professor Roger Flage, tel: 518
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. The postdoctoral fellow will collect and analyse qualitative data (video data, interviews in groups and individually) collected in a selection of classes in upper secondary schools. The qualifying project will be
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this is required documentation on competence in English if this is required publications or other relevant research work Applications are evaluated based on the information available in Jobbnorge
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journals with ongoing data collection and possibility of further expansion. The candidate will work at the intersection of AI, information retrieval, multimodal learning, and clinical decision-making