JHU EEHPC
11 - 50 employees
📚 Education
🤖 Artificial Intelligence
🏥 Healthcare
Education • Artificial Intelligence • Healthcare
JHU EEHPC is the Energy Efficient High Performance Computing Lab at Johns Hopkins University, led by Tinoosh Mohsenin. The lab focuses on designing medical, health, and wearable devices and developing tiny, energy-efficient wearable and mobile computing systems through cross-layer approaches spanning algorithms, architecture, hardware, and system integration. It applies high-performance computing and artificial intelligence methods to smart health monitoring, robotics, autonomous navigation, and related domains, aiming to revolutionize healthcare, transportation, and public utilities.
Research Data Analyst – Pediatrics
Job not on LinkedIn
🔥 0 minutes ago
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JHU EEHPC
11 - 50 employees
📚 Education
🤖 Artificial Intelligence
🏥 Healthcare
Education • Artificial Intelligence • Healthcare
JHU EEHPC is the Energy Efficient High Performance Computing Lab at Johns Hopkins University, led by Tinoosh Mohsenin. The lab focuses on designing medical, health, and wearable devices and developing tiny, energy-efficient wearable and mobile computing systems through cross-layer approaches spanning algorithms, architecture, hardware, and system integration. It applies high-performance computing and artificial intelligence methods to smart health monitoring, robotics, autonomous navigation, and related domains, aiming to revolutionize healthcare, transportation, and public utilities.
📋 Description
• Collect data and generate reports and models. • Run models, analyze model results, and prepare reports on the analysis. • Conduct analyses in support of the assigned research project or study. • Conduct statistical analyses using standard and statistical software packages. • Design and prepare tables to illustrate analytic findings. • Manage or contribute to entry of data in the assigned database. • May engage in other research related responsibilities. • Other duties as assigned.
🎯 Requirements
• Bachelor's Degree in related discipline • Three years of related experience • Extensive experience with STATA and/or R, REDCap, Endnote, MS Word and MS Excel
🏖️ Benefits
• Health insurance • Retirement plans • Flexible work arrangements • Professional development opportunities • Total rewards package that supports health, life, career, and retirement
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