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on a predictor X; candidates should understand how this function performs the analysis (e.g., estimates the effect size, assesses significance). Most likely, the applicants will have a BSC and/or PhD
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international research networks time spent abroad working at one or more internationally recognised research institutions. Furthermore, applicants must have an advanced command of spoken and written academic
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register data and randomized controlled trials. We collaborate with municipalities, ministries and voluntary organisations to base their social, school and crime prevention interventions on more robust
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to have improved projections and more robust estimates of uncertainty. The project provides training and growth opportunities in AI. Candidates who have strong interest in machine learning, but minimal
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performance. To investigate the ecophysiological consequences of an ice-free Arctic for marine fishes, the post-doc will estimate the field metabolic rates for a range of marine fish species using a novel
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University. Our research covers physics, chemistry, microbiology, social sciences, geography, and environmental economics, addressing global challenges such as pollution control, land and water management