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with various methods. By integrating the findings with archaeological knowledge, the goal is to elucidate bacterial genetic evolution that was shaped by human influence and make predictions to the future
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information, please visit https://www.helsinki.fi/en/hilife-institute-of-biotechnology . University of Helsinki's Biomedicum Helsinki is an elite community of over 90 research groups on the Meilahti campus
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research group is associated with the newly established Center of Excellence in Neutron-Star Physics (https://neutronstars.fi ), providing us long-term funding, strong connections to related Finnish and
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in Neutron-Star Physics (https://neutronstars.fi ), funded by the Research Council of Finland. The CoE status provides us long-term funding, strong connections to related Finnish and international
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multidisciplinary, international research university, with about 4000 employees who produce new knowledge based on high-standards research and provide research based education to build a more sustainable, smarter
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university, with about 4000 employees who produce new knowledge based on high-standards research and provide research based education to build a more sustainable, smarter, and more humane world. The University
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or related fields Practical experience with omics data analysis in a biomedical context A solid knowledge of single cell omics technologies and data analysis A strong research record Advantages Experience in
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also have strong expertise in applying digital methods to research on large textual corpora, including requisite programming skills, as well as sufficient knowledge of classical Arabic to enable work
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Centre of Excellence in Neutron-Star Physics (https://neutronstars.fi ), funded by the Research Council of Finland. The CoE status provides us long-term funding, strong connections to related Finnish and
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knowledge, the goal is to elucidate bacterial genetic evolution that was shaped by human influence and make predictions to the future. The work provides the possibility to develop skills in microbiology, data