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the analysis of omics data is required for this position. Knowledge of cancer biology is a strong advantage. Experience with high-performance computing, genomic data integration, biological network analysis, and
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biology is a strong advantage. Experience with high-performance computing, genomic data integration, biological network analysis, and/or gene regulation is desirable, but not required. The position is open
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, strong support services and functioning collaboration networks. Please read why you should choose Helsinki https://www.helsinki.fi/en/about-us/careers/why-university-helsinki/why-helsinki and Finland
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information on the Institute, please visit https://www.helsinki.fi/en/helsinki-institute-of-life-science Why Finland? Finland is a member of the EU, has high quality free schooling (also in English), generous
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personal work performance. Application documents Applications must have the following enclosures as a one single pdf file (in English): CV; Scientific activities: free-form, one-page report of
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which they provide instruction, in this case Finnish, Swedish and German. To successfully perform their duties, the appointee will also require excellent English skills. Further information on language
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has signed the Declaration on Research Assessment (DORA, https://sfdora.org ) and applies its principles to the assessment of applicants’ academic merits. According to the Government Decree
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of qualifications According to the Regulations of the University of Helsinki, appointees to university lectureships must hold an applicable doctoral degree and have the ability to provide high-quality research-based
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on capital and land constraints, ownership transfer mechanisms, inheritance taxes and the timing and form of generational change. This research is based on high-quality administrative register data covering
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. The University of Helsinki has signed the Declaration on Research Assessment (DORA, https://sfdora.org ) and applies its principles to the assessment of applicants’ academic merits. According to the Government