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Institute of Animal Reproduction and Food Research of Polish Academy of Sciences | Poland | 18 days ago
, Biochemistry, Biotechnology; Bioinformatics). Proven experience in molecular and/or cell biology techniques. Experience in high-throughput data analysis (omics). Demonstrated scientific achievements, including
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, immune tolerance, or autoimmune mechanisms. Experience with bioinformatics pipelines for analysing transcriptomic or repertoire sequencing data. Please refer to the position description for full details
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mice as model systems and combine molecular, cellular, developmental and bioinformatics approaches to establish how chromatin regulators reshape the epigenome and regulate cell fate during development
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imaging, viral propagation and isolation, immunohistochemistry, performing retinal imaging including ERGs, and have experience in bioinformatics. The applicant should also be proficient in mouse handling
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bioinformatics. Post-Doctoral Associates conduct research and/or service that provides further development of career skills or allows them opportunities to learn new research techniques. They are trained by and
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related discipline. Preference will be given to those with excellent track record, research experience and strong expertise in cancer bioinformatics, cancer biology and/or cancer immunology as well as cell
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Department of Biomedical Informatics is a highly dynamic and multidisciplinary environment that has strengths in bioinformatics, global health informatics, imaging informatics, machine learning, mHealth
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with a main emphasis on genome assembly. The research group is part of the Algorithmic Bioinformatics lab at University of Helsinki. The amount of sequencing data has increased enormously during the last
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inflammation, multi-dimensional flow cytometry, and assay development is desired. Experience with bioinformatics analysis is preferable but not essential. Applicants with good organizational and analytical
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, including integration across multiple cohorts, devising workflows and strategies to plan genetic association studies. * Conducting bioinformatics and statistical analyses of high-throughput omics data