29 parallel-computing-numerical-methods Postdoctoral positions at Aarhus University in Denmark
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the faculty here . About the research project The position entails research in biostatistics and clinical epidemiology, with a particular focus on causal inference and methods in pharmacoepidemiology
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and 2005 and utilising various methods from history, digital humanities, and cultural studies. The position is 2,5 years (30 months). The position is based at the Department of History and Classical
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techniques and data analysis to provide a more integrated picture of life processes in the context of health and disease. To be a postdoc fellow at the AMBER programme you will get unprecedented medical
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to protein engineering and molecular cloning, Experienced in bioinformatic genome analysis and computational tools related to protein structure analysis and prediction, Sufficient expertise in standard
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. Join us at the Department of Electrical and Computer Engineering, Aarhus University, where we are developing semantic-aware communication that leverage edge AI, semantic reasoning, and efficient time
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(XAI) methods to improve the understanding of key drivers controlling peatland conditions and ecosystem functioning. The research project will primarily focus on implementing and merging analyses
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background in feed processing technologies, biochemical, and chemical evaluation methods. Proven experience in experimental design, data analysis, scientific communication and writing. Demonstrated ability
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international quality. In your daily work, you will work closely with an interdisciplinary team of scientists and clinicians, combining cutting-edge computational approaches with experimental validation. Your
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-field, and field-scale research facilities, advanced computing capacities as well as an extensive national and international researcher network. The department consists of nine research sections with
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innovative research, contracted policy advice, and education. We offer professional laboratories, greenhouses, semi-field, and field-scale research facilities, advanced computing capacities as