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of the gas-phase composition. The work involves the development and application of advanced experimental methods to link surface structure, gas-phase reactions, and catalytic activity under realistic reaction
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. Is proficient in modern statistical modelling, AI & machine learning methods (e.g. system identification, regression models, Bayesian methods, deep learning). Is an experienced programmer in R and/or
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focused on long-term processes, where economic theory and quantitative methods are important methodological tools. Strong research areas at the department include economic growth and structural
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duties listed above. Qualification requirements Applicants must have: A PhD or equivalent research qualification in physical geography, environmental sciences, or forest ecology Previous research
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are seeking a highly motivated candidate with a PhD degree in agriculture, horticulture, biology or plant breeding, obtained no more than five years ago. The candidate must have: a strong background in
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offer a researcher position in AI-based metrology for medical imagining. The focus will be on developing traceable and reliable methods for quantitative spectral CT imaging and personalised dose
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research focused on long-term processes, where economic theory and quantitative methods are important methodological tools. Strong research areas at the department include economic growth and structural
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. The department has a yearly turnover of around SEK 550 million, out of which about two thirds derive from external funding. IGP has approximately 400 employees, out of which 100 are PhD-students, and there are in
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substantial experimental components that should be published in peer-reviewed international journals and at major conferences. The position will include supervision of PhD and MSc students, teaching and
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has about 250 employees of which 95 are PhD students. Many have been internationally recruited. The Department is part of the AlbaNova University Center, which apart from the Department of Physics