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Field
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. Use of animal model systems to study hematopoietic engraftment. Engage in self-directed work with bioinformatic core to develop expertise in analysis of nascent transcription, CUT&Run and protoeomics
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days ago
, data analysis, and bioinformatics, and a good track of publication records in related areas to conduct basic and translational cancer research in the Dr. Jeremy Rich’s laboratory for brain tumor studies
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.) degree in area of research specialty. Required Certification, Licensure/Other Credentials Preferred Qualifications Doctoral (Ph.D.) degree in biostatistics, bioinformatics, or other relevant public health
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initiative Preferred Qualifications: Published microscopy (widefield or confocal) techniques Evidence of prior bioinformatics analysis Published HIV-1 research Literature fluency particularly viral RNA biology
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Candidate Profile Training and Skills required (Recent) PhD in bioinformatics, statistics, or computer science with knowledge and interest in biology Track record of creativity in developing analytic
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multiple fields, including mathematics, physics, artificial intelligence (AI), bioinformatics, and biological sciences. Researchers work closely with experimental biologists to ensure that computational
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British native plant species. The post will involve bioinformatic analyses of large genomic datasets, in collaboration with the University of Sheffield and Oxford Botanic Gardens. People have always been
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. They should have solid knowledge of chemistry and biology, and an excellent command of spoken and written English and Chinese. Experience in bioinformatic data analysis including microbiome, virome and
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sequencing and bioinformatics, iPSC derived cells, tissue organoids and/or tissue slices, analytical techniques e.g. LC-MS, liquid scintillation, HPLC, MS, NMR. Administrative and Collaborative Skills
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be determined by the funding available. About you You will hold or be near completion of a PhD/DPhil in Computational Biology, Bioinformatics, Genomics, or a closely related field, with significant