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Knowledge of simulation medical high-fidelity simulators and systems (e.g., Laerdal and Gaumard) General knowledge of servers, databases, and web applications (e.g., Microsoft 0365, Python, HTML, and
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biology methods, inorganic spectroscopy, metabolomics, proteomics, aqueous phase catalysis, analytical methods (mass spectrometry, NMR). Experience in data analysis and scientific programming (Python
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. Experience in Python code, Matlab, and LabChart. Knowledge of cardiovascular physiology. Department Contact for Questions Miranda Lockwood, SHRM-CP Human Resources Business Partner mjlockwo@iu.edu Additional
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Knowledge of simulation medical high-fidelity simulators and systems (e.g., Laerdal and Gaumard) General knowledge of servers, databases, and web applications (e.g., Microsoft 0365, Python, HTML, and
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precipitation research. A strong record of relevant peer-reviewed publications and data products. Proficiency in quantitative analysis using Python, MATLAB, or R; experience with hydrologic modeling tools is also
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the state of Indiana. Basic Qualifications Ph.D. or terminal degree in biomedical engineering or related field. Experience in Python code, Matlab, and LabChart. Knowledge of cardiovascular physiology
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device and policy configuration on Cisco and Juniper Experience working with Ansible and Git Experience scripting in Perl or Python Experience using a trouble ticketing system Experience installing
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, genotype data, biomarkers, etc.) is required. Desire to apply your skills in data analysis to utilize bioinformatics methods (e.g., from R/Bioconductor) or machine learning tools (e.g., using Python packages
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on data management, using the current Bash/Python-based infrastructure for acquisition, de-identification, QC, organization, curation, and preprocessing pipelines for all data types. Additional
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of simulation medical high-fidelity simulators and systems (e.g., Laerdal and Gaumard) General knowledge of servers, databases, and web applications (e.g., Microsoft 0365, Python, HTML, and WordPress) ABOUT