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an individual who can demonstrate the following: Experience of working with children or young people with Special Educational Needs and Disabilities in an educational environment Understanding of the 2014 Code
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; documentation guidelines for medical service provision; undergraduate degree in administration or a health-related field; one (1) year IDX experience; one (1) year medical coding experience TRAITS & SKILLS: Must
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. 2. Overseeing the efforts to run computational models on lab workstation and other high-performance computing resources. 3. Collaborate with experimental team to validate the code. 4. Closely work
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of illness, and to facilitate and enhance the coding and DRG assignment process. Position Summary This position supports initiatives to improve the quality of documentation by all caregivers within the Ohio
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are compliant with current statutory/safety requirements and approved codes of practice. You will deliver a professional, customer-focussed electrical engineering support service to all stakeholders
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 21 hours ago
term paper that you think best reflects your abilities; and a sample of code which you have written. We will be accepting and reviewing applications on a rolling basis until the position(s) are filled
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locations, CMS and other contracted payers with which the group may contract. Accurately assigns Current Procedural Terminology (CPT) Codes and ICD Diagnosis codes and closes encounters in a timely manner
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developing a state-of-the-art, fully three-dimensional version of the fluid turbulence code SOLEDGE3X, as part of PPPL’s international collaboration with CEA, France. The final goal will be modeling self
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: Desautels Faculty of Management Course Title and Course Number: Data Handling and Coding for Analytics INSY 336/Coding Foundations for Analytics INSY 660 Estimated Number of Positions: 1 Total Hours of Work
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neutrino physics—using a combination of CMB and large-scale structure data. The analysis will rely on modified Boltzmann codes (e.g. CAMB or CLASS) and Monte Carlo techniques for parameter inference