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in one or more of the following areas: protein engineering, structural bioinformatics, enzymology, and food chemistry. Strong communication skills, with the ability to work collaboratively in a
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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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., 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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, bioinformatics, microscopy, and flow cytometry is a plus. The Wistar Institute is a world leader in early-stage discovery science in the areas of cancer, immunology, and infectious disease. Wistar is committed
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qualifications: PhD or equivalent degree in genetics, epidemiology, biostatistics, bioinformatics, or a related quantitative field Strong publication record Strong research interests in genetic epidemiology
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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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) comprises 27 full-time Faculty, 6 full-time staff and approximately 300 full-time students across our undergraduate majors of Biology, Biotechnology and Molecular Bioscience, Bioinformatics and Computational
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in Dr. Shanlin Ke’s lab. The overarching goal of Dr. Ke’s lab is to develop computational approaches and leveraging bioinformatics tools, metagenomic sequencing, multi-omics data, machine learning, and
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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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; 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