514 computer-science-programming-languages-"St"-"FEMTO-ST-institute"-"University-of-St" "St" positions in United States
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: Must be a high school graduate or possess the GED, and must have completed formal Surgical Technology Training Program. Previous experience in the Operating Room as Surgical Technologist is preferred
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and predictable attendance. Minimum Education and/or Training: Bachelor's degree in bioinformatics, cheminformatics, statistics/computer science (with a background in biological sciences or chemistry
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of the following methodologies: optogenetics, calcium imaging, viral tracing, tissue clearing, murine behavioral phenotyping, machine-learning behavioral analysis Familiarity with programming languages
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the fields of cancer survivorship, genetics, stem cell pharmacogenomics, epidemiology, biostatistics, and computational biology. The successful applicant will gain extensive training and experience in genetic
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extant software in conducting data analysis for biomedical datasets. The Microbial Computational Genomics and Bioinformatics Core Laboratory in the Department of Host-Microbe Interactions (HMI) at St
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: Must be a high school graduate or possess the GED and satisfactory completion of a recognized training program for operating room technicians or equivalent combination of education and experience is
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working with systems biology, drug-gene interactions, and network analysis. Projects will focus on advancing cutting-edge drug discovery programs for childhood catastrophic diseases using the latest
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by identifying and implementing evidence-based practices, promoting continuous improvement within the music therapy program. Part time Shift days and hours Monday/Wednesday and Thursday (4 hours a day
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working in the Adult Education side of FLP which includes English as a Second Language, GED Preparation, and Family Literacy activities. General statement of duties MSU Denver Family Literacy Program is
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for developing and implementing new informatics tools and resources to enhance phenotyping performance or enable deep phenotyping through terminology/ontology, natural language processing, and machine learning