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applications. Openness to hybrid .NET and Python ecosystems to support the evolving needs of our AI integration efforts. Strong understanding of modern data architectures (data lakes, lakehouses, vector stores
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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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, 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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optical systems and the use of lasers. Proficiency in data processing software e.g., Python, Matlab. Exhibits excellent professionalism and work ethics, initiative and self-motivation. Strong ability
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skills: · Experience with Python · Experience with high performance computing clusters · Development of reproducible analysis pipelines · Strong time management and organizational skills · Ability to work
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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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. Openness to hybrid .NET and Python ecosystems to support the evolving needs of our AI integration efforts. Passion for supporting digital transformation through AI education and enablement across diverse
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optical setups and measurements. • Working knowledge and understanding of quantum optics and ultrafast optics. • Good with data analysis using Matlab, Python, etc. • Good in research and strong
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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