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Field
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; contribute to the mentoring of trainees within the lab; publish peer reviewed manuscripts and contribute to funding proposals. Educational Requirements • PhD in Chemistry, Bioinformatics, Computational Biology
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that control the response to low oxygen conditions in Marchantia polymorpha. They will contribute both to the practical work with plants but also some bioinformatics work on protein structure and function
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working at the boundaries of several research domains PhD degree in computational biology, bioinformatics, systems biology, bioengineering, chemical engineering, or a related discipline Knowledge and
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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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/bioinformatics, and data science. Work Performed · Work in highly collaborative inter-disciplinary environment with clinicians, econometricians, statisticians, and data scientists · Lead statistical analysis
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, crystallography, study of biomolecular interactions, genomics and proteomics is available. The department has access to powerful computational capacities used for computational chemistry, bioinformatics and
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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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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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records, give presentations, and prepare reports and publications. Required Qualifications PhD (or analogue) and substantial knowledge of human and/or animal reproductive physiology. Significant experience
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, regenerative biology, or olfaction Interest in microbiome-host interactions Experience of molecular biology PhD in a relevant area Experience of imaging Team worker Desirable criteria Original research