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compounds in collaboration and support with experienced radiochemists. The candidate will acquire and analyze PET/SPECT imaging data, perform kinetic modeling, and contribute to advanced image analysis
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with quantitative data analysis excellent written and spoken English in order to qualify for admission to PhD programmes at the Faculty of Health Sciences, applicants must have achieved a grade of B or
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hydrological conditions is an advantage Experience with machine learning models and hydrologic/hydraulic modeling Strong familiarity with tools such as SWMM and GIS Proficiency in programming and data analysis
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experiments Relevant experimental method development Surface characterisation, optical and visual characterisation Data analysis Complete the doctoral education until obtaining a doctorate Contribution to
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17th August 2025 Languages English English English We are looking for PhD Position within Investment and Policy Analysis under uncertainty for CCS Value Chains Apply for this job See advertisement
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Additional preferred expertise and experience Experience with longitudinal data analysis and advanced statistical methods (e.g. linear and generalized mixed-effects models, growth curve analysis and structural
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communication and collaborative skills Excellent written and verbal communication skills in English Additional preferred expertise and experience Experience with longitudinal data analysis and advanced
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electron microscopy analysis, Raman spectroscopy, fluid inclusion analysis, potentially appropriate petrochronological methods, and 3D geological modelling. The project will be conducted in partnership with
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analysis and ecological data, preferably using R or related tools. Good written and oral communication skills in English, and, preferably in a Scandinavian language In addition one or more of the following