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to the analysis of of high-throughput genomics data, comparative genomics, functional genomics, or a related field. The candidate should be excited about applying computational tools to answer questions in biology
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. We require the candidate to have documented experience in either large-scale genomics data analysis with computational or approaches/biostatistics, or machine learning/deep learning. Experience with
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their impact on gene function and structure using a range of sequence analysis and comparative genomic methods. The projects will also involve programming for data collection and analysis. As a
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and study the local aspects of changing work and leisure in South Savo region, particularly using electricity consumption data. The appointee will also have the opportunity to shape the focus
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and study the local aspects of changing work and leisure in South Savo region, particularly using electricity consumption data. The appointee will also have the opportunity to shape the focus
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in these diseases. The postdoctoral fellows will work on computational method development and data analysis for bulk and single-cell omics data from human patient samples. Individuals with a strong
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should hold a PhD degree in molecular biology, biochemistry, cancer biology or related fields. Expertise in biochemistry, transcriptomics, NGS data analysis and basic programming in R/Python is a pre
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(v) creating data tools for analysis and scientific requirements in the team. Be willing to work in an interdisciplinary team, carrying out research in conservation science that can help address