573 parallel-processing-bioinformatics positions at University of Pennsylvania in United States
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genetics and familiarity with studies addressing translational genomic medicine. Applicants must have a Ph.D. or M.D./Ph.D. degree. Responsibilities may include bioinformatics analysis of genetic, genomics
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. The Software Engineer will be responsible for maintaining high standards around code quality via improving design, pair programming, code reviews, etc. The code should take advantage of parallel processing to run
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sequencing core for analysis and collaborate with the bioinformatician to interpret the sequencing data. Additionally, the role includes oversight of the instrument’s operation, routine calibration, and
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required in the specific area of T cell biology and bioinformatics. The ideal candidate will bring deep expertise in tissue culture and flow cytometry, and a broad range of immunologic techniques. A proven
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to recruit a Data Scientist Senior. This job requires substantial experience with meta-analysis, biostatistics, and bioinformatics. The ideal candidate will also have significant domain expertise in
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the direction of Dr. Daniel Goodman, the specialist will apply cutting-edge approaches to achieve these goals. The selected candidate will help to set up lab protocols, processes, and equipment, and then will
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. This highly collaborative project adapts proteomics, genetics, bioinformatics and CRISPR/Cas9 editing to reveal this overlooked but essential form of retrotransposons-based regulation in development, fertility
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areas of growing impact, including evidence synthesis, bioinformatics, and public access. Contribute to the strategic leadership and planning activities for the Libraries’ Collections and Scholarly
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next generation sequencing to determine the location of new DNA inserted into host genomes, often in the context of human gene therapy. The second project uses deep sequencing, bioinformatics and other
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team investigating behavioral, pharmacological, and intersectional genetic approaches coupled with neural multiomics and bioinformatics analysis in preclinical animal models. Our research addresses