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Postdoctoral Researcher in Bioinformatics & Computational Biology University of Oklahoma Norman Campus: Gallogly College of Engineering: School of Computer Science Location University of Oklahoma
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bioinformatics, statistics, and/or computer science. These skills would be applied to large mass spectrometry and mass spectrometry imaging datasets for clinical research, focusing on malignancies including breast
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: Exempt Work Schedule: Monday – Friday, 8 a.m. – 5 p.m. Summary The Division of Surgical Oncology is seeking an enthusiastic Postdoctoral Associate (Ph.D.) with a strong background in bioinformatics
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, molecular and cell biology, and animal models. Skills in bioinformatics are advantageous. Candidates should be highly motivated and have a track record of publications in international journals. The appointee
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., biology, ecology, evolution), strong bioinformatics skills, experience with analyzing eDNA, proven record of peer-reviewed publications, an ability to organize and lead field expeditions, and interest in
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epigenomics, metabolomics, single-cell technique, bioinformatics, genetic animal models, molecular and cellular biology, metabolic tracing, sophisticated virus tools, neurobehavior, opto/chemogenetics, in vivo
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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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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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will include comparisons from within the Fungi to comparisons stretching back to the last universal common ancestor. You must be able to conduct a range of bioinformatic approaches involving the use
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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