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Position Summary Reviews medical record documentation to determine appropriate billing codes and necessary documentation. Job Description Primary Duties & Responsibilities: Reviews the documentation
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sophisticated statistical modeling, and could also involve theoretical work such as coding of model simulations. The position is structured to help individuals prepare for doctoral programs in economics (or
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Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig | Leipzig, Sachsen | Germany | about 5 hours ago
Job Code: PhD 09/25 Job Offer from September 09, 2025 The Max Planck Institute for Human Cognitive and Brain Sciences (MPI CBS) in Leipzig is an internationally leading research institute of the Max
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and on the interview. The Evaluation Committee will grade each candidate with a maximum of 200 points, divided as follows: - 60 points to grade the quality of the qualifications (listed in the CV
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the interview. The Evaluation Committee will grade each candidate with a maximum of 200 points, divided as follows: - 60 points to grade the quality of the qualifications (listed in the CV); - 140 points to grade
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science. Further information about our research can be found on our website. Responsibilities You will develop and apply innovative genetic code expansion tools to achieve site-selective incorporation
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laboratories with inquiries regarding billing issues. Reviews records for patient information, insurance information, service descriptors, diagnosis codes and managed care authorization requirements, and
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procedures documented during a patient’s admission. Determines and assigns the principal diagnosis and all significant secondary ICD-10-CM diagnosis codes, in addition to Present on Admission (POA) indicators
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needs and concerns. Knowledge * Texas Penal Code, Texas Code of Criminal Procedure, Texas Family Code, Texas Education Code, Texas Motor Vehicle Code, and Texas and National Criminal Information Centers
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periodic time series. Responsibilities also include coding the proposed algorithms in R or Python, such as methods for splitting periodic time series into regeneration blocks, and applying them to real