104 model-driven-development "Integreat Norwegian Centre for Knowledge driven Machine Learning" Postdoctoral positions in Denmark
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of Ecoscience leads a citizen science-driven project on seabird mortality in Denmark (https://ecos.au.dk/en/researchconsultancy/themes/supre). As part of this project, volunteers count beached birds and collect
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Do you want to work with extracellular vesicles and C. elegans as model system. Do you see yourself as a team player who is strong in collaboration? If yes, we look forward to reading your
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The Section of Biostatistics is looking for a postdoc to develop statistical methods for inference on causal effects in studies affected by non-random participation, particularly self-selection in
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funded 2 year postdoctoral position at Aarhus University. Denmark has an excellent working environment for developing an academic career, competitive salary, and funding opportunities. Strong access
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physiological and molecular responses and will feed into the project's design-test-model cycle. The position will also strengthen the unit's capacity in plant cultivation under controlled and sterile conditions
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violence. The project examines how elites, through their rhetoric, contribute to this development. It focuses on the emotion of shame and two connected rhetorical practices that have been on the rise over
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metagenomics from various field experiments, evaluation of microbially mediated regulation of soil carbon fractions, and development of a model that simulates the growth of key soil microbial communities related
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leading journals and present at international conferences What we offer A fully funded 2 year postdoctoral position at Aarhus University. Denmark has an excellent working environment for developing
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. The positions are open to outstanding candidates who wish to develop and lead their own independent research project within one of the faculty’s research areas. Thus, applicants are expected to propose a novel
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perception, spatiotemporal learning, or world modeling, and will develop this expertise in the context of wirelessly enabled embodied AI systems. Your competencies Prospective applicants for this postdoctoral