370 coding-"https:"-"FEMTO-ST"-"CSIC" "https:" "https:" "https:" "https:" "https:" "https:" uni jobs at University of Washington in United States
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at the Assistant or Associate Professor level (tenure eligible). Specific rank will be commensurate with experience and qualifications as generally described in UW’s Faculty Code Section 24-34 . Assistant Professors
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Qualifications Experience with APF Knowledge of UW APF and UW ISO Policies and Procedures Familiarity with UW Faculty Code Familiarity with Workday Our Commitment The University of Washington is committed
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on community code. This is a highly collaborative environment with opportunities to work with and learn from other bioinformaticians and immunologists as well as contribute to additional research groups in
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companies for benefit verification and pre-certification of surgical and nonsurgical procedures; notifies financial counselor for pre-payment of un-coded services. Supplies all documentation required during
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Support Services, Coding, Utilization Management, Contracting and many other UW Medicine Organizational Partners. PRIMARY JOB RESPONSIBILITIES Supervise Patient Financial Services Supervisors, working with
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building and expanding our AWS application data infrastructure using CloudFormation and other code-as-infrastructure deployment technology. Deploy new resources (e.g., databases, servers, cloud-specific
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processes. Troubleshoot data, application, and system-level issues. Coordinates with team members to develop front-end applications, including HTML code and scripts for website applications. Write scripts—and
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holding an appointment in one of the physicians practice plans, see the link for additional benefits that may be available at: https://faculty.uwmedicine.org/wp-content/uploads/2019/09/CUMG-Benefits-Summary
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with UW Faculty Code, Executive Orders, Administrative Policy Statements, UW staff and academic HR policies and College policies, as well as federal and state regulations and employment laws. The Human
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code building for team member papers will involve mastery and application of existing algorithms and tools for understanding and detecting TADs, subTADs, loops, and compartments in Hi-C and MicroC data