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expected to integrate existing and new datasets into publishable manuscripts. Your profile The successful candidate must have: - A PhD in a discipline such as Environmental Sciences, Ecology, Forestry
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at the division of Statistics and Machine Learning (STIMA) or Artificial Intelligence and Integrated Computer Systems (AIICS). Read more about STIMA: https://liu.se/en/organisation/liu/ida/stima Read more about
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data integration, digitalisation, and sustainability aspects on material use. The position further requires demonstrated good ability to communicate orally and in writing in English. Assessment criteria
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-unpublished antiphage defence systems. The focus of this project would be to uncover their molecular workings through integrated structure-functional approach combining phage microbiology, biochemistry and
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integral privacy, k-anonymity), different scenarios (centralized and decentralized data; local and global privacy). For decentralized data, we consider federated learning. We are particularly interested in
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within research and education. The following will strengthen your application: Familiarity with any of: molecular simulation methods (integrators, force fields, enhanced sampling), structural biology
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reliable and sustainable components more affordably and more efficiently. Due to the complexity of the research, an integrated framework combining experiments, simulations, and data-driven methods is
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also include technique development work aimed at combining imaging techniques and data analysis to provide a more integrated picture of life processes in the context of health and disease. To be a
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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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well as integration of carbon cycling data with complementary ecophysiology and/or soils data from the sites. Field visits to the site are not essential, but are possible if they can be explicitly motivated