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approach that includes advanced bioimaging and image analysis, cell biology and genetics, and omics technologies. Qualifications We invite applications from candidates with a background in cell and
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, to uncover convergent gene regulatory mechanisms, with the goal of informing therapeutic strategies. Tasks The tasks will include one or more of the following: Analysis of data collected from developing
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microbiome from clinical patient samples Computational analysis and integration of functional microbial genomics datasets from next-generation sequencing methods. Supervision and teaching of students and
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include, for instance, DNA and RNA extraction, next-generation sequencing (e.g. bulk and single-cell RNA-seq), targeted SNP assay development and analysis, and related bioinformatic methodologies
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, complemented by publicly available data, to examine transcriptomic dependencies on transcription factor abundance and somatic mutations. These efforts aim to enable pan-cancer subtyping and uncover regulatory
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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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intersection of computational biology, biotechnology, and precision medicine. You will contribute to the development of innovative bioinformatics tools and perform in-depth analysis of cutting-edge datasets
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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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, ICLR, JMLR, ACL, EMNLP, TACL) are considered a significant merit. Scientific interest and contributions in molecular metabolism or biomedicine, including the analysis of large-scale structured
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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 PhD student, you will screen