479 postdoc-in-postdoc-in-automation-and-control positions at University of California
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synchronization across inventory, procurement, and scheduling databases. Collaborate with developers and engineers to improve system interoperability and automate reporting processes. Warehouse Supply & Inventory
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requirements and controlled substance accountability. Written and oral communication skills to clearly & concisely develop drug shortage management plans, drug utilization evaluations, and financial reports
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design and development methodologies, life-cycle development procedures, integration and unit testing frameworks, and select appropriate software languages. Recommend analyze, design and develop automated
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GradSphere platform, UC Davis’ enterprise-grade solution built on the Appian platform for automating graduate education workflows and business processes. The Lead Platform Developer applies advanced software
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, Unit 18 lecturers, emeriti faculty, adjunct faculty, staff, postdocs, lecturers, GSR's, TA's, and student assistants, as well as fellowship, block grant and training grant appointees. The Center
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; validating requirements against needs; designing details of automated systems; developing user interface design; planning and executing unit integration and end-user acceptance testing; may develop training
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throughput assay development and laboratory automation systems (liquid handlers, robotic colony pickers etc.). Experience with sequencing technologies and microfluidics. Experience using fluorescence-activated
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for parasite and parasite eggs. Organizational tasks to include: sample and isolate management, data entry, equipment maintenance and ordering of supplies and inventory control. Apply By Date June 24, 2025 at 11
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inventory to include chart supplies, patient educational supplies, and daily unit supplies. Performs basic patient care skills, follows infection control practices, assist in transfers and transport patients
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Come shape the future of healthcare IT with us! Are you passionate about leveraging Artificial Intelligence (AI), Machine Learning (ML), and automation to enhance IT operations and data management