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initiative Ability to build strong customer relationships Strong knowledge and ability to apply qualitative and/or quantitative research skills Familiarity with and openness to learn new qualitative and mixed
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Qualifications Experience with machine learning and AI models. Ability to communicate clearly with colleagues, Data presentations Scientific publication experience Special Instructions Priority Application Review
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. Department Contact for Questions Miranda Lockwood, SHRM-CP Human Resources Business Partner mjlockwo@iu.edu Additional Qualifications Experience with machine learning and AI models. Ability to communicate
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Location Indianapolis Position Summary Are you passionate about genomics, big data, drug discovery, and AI/machine learning? Interested in advancing cutting-edge multi-omics research to explore genetic and
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Scale Computer Ability to use a Copier/printer/scanner/fax Proficiency in clinical skills including phlebotomy, vital signs, ECGs, and patient care Ability to be reliable, assertive, and a team-player who
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pathology on computational, molecular, cellular, preclinical and translational levels. A spectrum of scientific methods includes state-of-the-art multi-omics approaches, machine learning and implementation
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on understanding how organs communicate to each other using the Drosophila (fruit fly) ovary and intestine as models. This position provides an excellent opportunity to continue scientific learning, develop research
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neuroimaging and fluid biomarkers, (b) systems biology analysis of pathways from multi-omics data using multi-layered network approaches, © machine learning for identification of genetic risk factors in ADRD, (d
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handling skills (training and certification required but can be obtained on the job) Basic computer skills, basic math and critical thinking skills Ability to read the scientific literature Ability to work
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pathology on computational, molecular, cellular, preclinical and translational levels. A spectrum of scientific methods includes state-of-the-art multi-omics approaches, machine learning and implementation