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Field
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collaboration with clinicians and other experts in molecular virology, immunology, genomics, and bioinformatics. Qualifications PhD (completed or near completion) in medicine, virology, molecular biology
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Applicable Driver's License: A driver's license is not required for this position. More About This Job Preferred Qualifications: A PhD in Genetics, Bioinformatics, Computer Science, Data Science, Statistical
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research and have a strong background in bioinformatics and large-scale data analysis, we encourage you to apply. Key Responsibilities Research Leadership & Data Analysis (80%) ● Lead the analysis of complex
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susceptibility testing. Experience with tissue culture assays and advanced bioinformatics, particularly microbiome and resistome analysis, is required. Strong scientific writing skills, experience in manuscript
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-departmental team of collaborative investigators with a broad research program related to the basic and translational sciences, genomics, epigenetics, and bioinformatics. The impact of the members of IGS
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: molecular biology, genomics/metagenomics, bioinformatics, microbiology, microbial ecology, invertebrate zoology, and symbiosis. Candidates must be capable of conducting substantial full-time research and
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possess a Ph.D. degree, preferably in Bioinformatics, Genetics, Genomics, Evolutionary Biology, Mathematics, Statistics, Computer Science, or a related discipline. Priority will be given to those with
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Bioinformatics, Molecular Biology, Biochemistry, Computer Science, or related field Special Skills, Knowledge, and Abilities: Required: Candidates must hold a doctoral degree (PhD, MD, or equivalent). Applicants
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sequencing and bioinformatics We are housed in Loyola’s state-of-the-art Center for Translational Research and Education (CTRE) at the Health Sciences Campus—located just outside of downtown Chicago with easy
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 3 hours ago
background in microbial genomics, evolutionary biology, bioinformatics, or computational biology, with an interest in translational applications that connect bacterial evolution to clinical impact. Experience