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within the Clusters of Excellence ‘Machine Learning for Science’ and ‘Image-Guided and Functionally Instructed Tumor Therapies (iFIT)’. Requirements PhD in Bioinformatics, Computational Biology, or a
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expected to be bioinformatic in nature. Applicants must have a PhD in a relevant subject, experience of macrosynteny analysis and phylogenetic analysis of gene families, and a thorough knowledge of animal
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for differential rate correction). The successful applicant will hold, or be close to completion of, a relevant PhD/DPhil in bioinformatics, comparative genomics and phylogenetics, together with relevant experience
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interest in infectious disease epidemiology are essential for the post. For appointment to Research Associate, you should hold a PhD in infectious disease epidemiology, evolutionary biology, bioinformatics
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these processes, with the aim of understanding how ageing promotes CH progression. You will hold a PhD within the area of molecular biology or have thesis submitted at time of application, and will have experience
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Schedule: Monday – Friday, 8 a.m. – 5 p.m. Summary The Cheng Lab at Baylor College of Medicine is searching for highly motivated and talented post-doc candidates to work on Bioinformatics and Computational
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on the Liang lab, please visit: https://www.wistar.org/our-scientists/chengyu-liang/ Recent PhD graduates from related fields with a record of peer-reviewed publications, strong laboratory experience
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postdoctoral associate with expertise in computational biology and/or bioinformatics to join our interdisciplinary group studying the functional genomics of tandem repeat expansions and related structural
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applicants regardless of their personal background. Qualifications and the selection process Applicants for this position must hold a PhD degree (or equivalent level of education) in bioinformatics, data
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. Department Specific Qualifications Education: PhD in biostatistics, statistics, bioinformatics, computational biology, or a closely related quantitative field awarded within the last five years. Experience