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master’s degree in related fields (computer science, electrical engineering, or computer engineering) Previous experience in Python programming Experience implementing machine learning algorithms in python
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other Harvard Medical School-affiliated hospitals. Analyze sequencing data, for example from RNAseq, ssRNAseq, and ChIPseq experiments Deploy existing programs and algorithms to evaluate other
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comparison of predictive algorithms—such as Random Forest and LSTM neural networks—for use in genetic material recommendation systems. Working as part of Camcore’s data science team, the selected candidate
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-read sequencing data to understand the penetrance, expressivity and biomarkers associated with the most common genetic cause of motor neuron disease and front temporal dementia, a repeat expansion in the
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 20 hours ago
computing environments including (1) implementing data structures, algorithms, and workflows (2) applying DevOps automation to develop continuous integration pipelines as well as deployment, orchestration
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intelligence and machine learning, with a focus on applications in library and information science. The AI Research Scientist will design and implement novel AI algorithms and models to enhance and expand
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Position Details Position Information Recruitment/Posting Title Open rank tenure track faculty position in the Department of Library and Information Science, in Information Policy Department SC&I
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according to scheduling algorithms, patients' medical history and established clinical and facility standards. Coordinate both procedures and ancillary visits within a specific period established for each
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Health. Complex Procedure Scheduling Duties Determine if ancillary appointments (pre-procedure clinic evaluations, pre-anesthesia testing appointments, etc.) are needed according to scheduling algorithms
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focused on primary human samples derived from blood or tissues in individuals with characterized infection or tumor histories. Using a combination of bioinformatic and computational approaches, we will