118 computer-programmer-"Multiple"-"Humboldt-Stiftung-Foundation"-"U"-"Prof" positions at University of Michigan
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Apply Now Job Summary The Gilbert S. Omenn Department of Computational Medicine and Bioinformatics at the University of Michigan is seeking a highly motivated and independent Bioinformatician
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dependent care expenses Flexible Work Program Ross Onsite Fitness Center Responsibilities* Application analysis, design, and programming (60%) Develop and test Salesforce applications with technical and
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the JD and 40 in the LLM program. Our graduates serve with distinction in the private, public, non-profit, and academic sectors, in large numbers in every major market in the nation, as
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Work Program Ross Onsite Fitness Center Responsibilities* WordPress and CMS Development (50%) Design (UI-UX), develop (code), and maintain web applications focusing on WordPress, Drupal, and other open
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Apply Now How to Apply ATTENTION: FACULTY APPLICANTS APPLY HERE, http://apply.interfolio.com/159029 , to view the position details and submit your application materials. The University of Michigan-Flint currently utilizes Interfolio for all faculty positions. DO NOT USE THE "APPLY NOW BUTTON" AT...
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/ . The Department of Learning Health Sciences is seeking an Applications Programmer/Analyst Intermediate to continue the development and support of software to demonstrate a novel application of computable knowledge
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. (10%) Provide backup coverage and support for the Lead Developer, including occasional system oversight and troubleshooting (10%) Required Qualifications* Bachelor's degree in Computer Science, a
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Practitioner program or who has successfully completed all required Nurse Practitioner program coursework at an accredited Nurse Practitioner program to qualify to take their specialty certification exam
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, Michigan Drug Discovery (MDD) is a campus-wide program created to support and fund drug discovery research at the University of Michigan. MDD provides ongoing funding for drug discovery projects and provides
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complex program designs in public cloud environments, including an optimal infrastructure, back-end, and front-end layers for new genetic data analysis and visualization software. Work with field experts