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(DGL) at the University of Helsinki. Selection criteria We are looking for a candidate with expertise in quantitative big data analysis and a strong interest in developing regional data analytics methods
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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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(DGL) at the University of Helsinki. Selection criteria We are looking for a candidate with expertise in quantitative big data analysis and a strong interest in developing regional data analytics methods
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: Deportation at Finnish Borderscapes from the Cold War to Europeanization’. Led by Senior Researcher, Dr Miika Tervonen, GATE undertakes the first systematic long-term analysis of modern Finnish deportation
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into regulatory mechanisms. The research will leverage a large in-house dataset from iCAN, complemented by publicly available data, to examine transcriptomic dependencies on transcription factor abundance and/or
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, GATE undertakes the first systematic long-term analysis of modern Finnish deportation policy. The project examines previously unused archival sources, interviews, and administrative data to analyse
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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
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-programs-unit/translational-immunology-program-trimm YOUR QUALIFICATIONS We are looking for an ambitious researcher with a PhD, a solid publication record, and strong background in scRNAseq data analysis and