860 parallel-processing-bioinformatics positions at University of Colorado in United States
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Procedural Nurse - Vascular Surgery, Aurora - 37004 University Staff Description University of Colorado Anschutz Medical Campus Department: Community Practice Job Title: Procedural Nurse - Vascular
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Open Rank Medical Assistant - Cosmetic Surgery, Aurora - 37320 University Staff Description University of Colorado Anschutz Medical Campus Department: Community Practice Job Title: Open Rank
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Assistant to Associate Professor of Surgery– Open Rank - 37041 Faculty Description University of Colorado Anschutz Medical Campus Department: Department of Surgery, Division of Transplant Surgery
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Open Rank Assistant to Associate Professor of Surgery - 36998 Faculty Description University of Colorado Anschutz Medical Campus Department: Department of Surgery, Division of Transplant Surgery Job
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Lecturer - Electrical and Computer Engineering (pool) - 36439 Faculty Description Lecturer - Electrical and Computer Engineering (pool) College of Engineering & Applied Science Engage. Educate
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: Collaborate with and support Principal Investigators (PI) and other stakeholders in the area of bioinformatics and data analysis Writing programs in SAS, R, or Python to analyze data collected for various
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consultations, and regularly interacts with surgeons and pathologists to provide expedient patient care and specimen processing. · Frequent frozen section training, assistance, and provides coverage when
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Qualifications: Bachelor’s degree in Computer Science, Bioinformatics, Biostatistics, Computational Biology, Data Science or related field Applicants must meet minimum qualifications at the time of hire. Preferred
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#: – Requisition #:37925 Job Summary: The Linda Crnic Institute for Down Syndrome has an opening for a Bioinformatics Analyst / Data Scientist at the Research Associate level to work at the University of Colorado
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: Develop new computational approaches to analyze and integrate large collections of biological data (including genomics, transcriptomics, pathway/process, drug data). Build machine learning models