14 computer-science-image-processing-"Multiple"-"Humboldt-Stiftung-Foundation" positions at The University of Chicago
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, electrophysiology, and imaging teams across the system and is responsible for creating a unified surgical program that addresses the needs of all constituent hospitals. The appointee’s own clinical responsibilities
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, program development, and collaborative integration with structural heart, advanced heart failure, electrophysiology, and imaging teams across the system and is responsible for creating a unified surgical
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trials. Handle competing demands with diplomacy and enthusiasm. Adaptable to changing working situations and work assignments. Working Conditions Use a computer for extended periods. Lab environment
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The University of Chicago Academic Jobs Tenure-track Faculty (Open Rank) Positions in Neurological Surgery #NSU012 Department of Neurological Surgery, Biological Sciences Division Position Type
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work in clinical research is strongly preferred. Experience coordinating multiple studies is strongly preferred. Experience working with computers, databases and Excel. REDCap experience is a plus
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of college coursework in any subject. Experience: Two years computer troubleshooting experience in an enterprise level support operation; interested parties with little or no enterprise level Mac support need
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strongly preferred. Annual planning, budget development and budget management experience strongly preferred. Technical Skills or Knowledge: Proficiency with basic computer software and comfortable with
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interdisciplinary department founded in 1940 whose faculty includes anthropologists, biologists, linguists, psychologists, sociologists, and methodologists whose theories and methods cross individual social sciences
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cancer biology, including genomics, transcriptomics, proteomics, and imaging. Troubleshoot technical issues and optimize protocols. Analyze large datasets from high-throughput experiments. Perform
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research projects with an emphasis on image analysis and computational pathology and the development of AI-driven data pipelines. The ideal candidate is a motivated individual with strong programming skills