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Field
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. This position requires developing bioinformatics pipelines, applying variant interpretation algorithms, project management skills and communicating with diverse stakeholders to gather and articulate requirements
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, focusing on applications within the healthcare, education, and environment sectors. Designs generative AI techniques and algorithms for data integration and computational models, with objectives to amplify
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employing standard and advanced statistical methods, including machine learning algorithms. The incumbent will also pursue independent research interests, secure extramural funding, and contribute to academic
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minimum qualification to be hired and to continue to be employed in the position. Essential Duties and Responsibilities Software development and maintenance Methods/algorithms development Computational
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learning algorithms focused on image data, natural language processing, and tabular data Conduct exploratory data analysis and feature engineering for high-dimensional datasets, including image, text, and
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University of Massachusetts Medical School | Shrewsbury, Massachusetts | United States | 23 days ago
and outliers in claims and develop trends and patterns for potential cases. Develop algorithms, queries, and reports to detect potential FWA activity. Analyze member records and claims data to ensure
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compensation matrices, gating strategies, and clustering algorithms. Maintain and calibrate flow cytometers (e.g., BD LSRFortessa, Cytek Aurora), ensuring data quality and reproducibility. Apply innovative
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to the discovery process through algorithm design and development of effective computing techniques What We're Looking For Education and Experience Required: Master’s degree in chemistry, engineering, math, physical
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, algorithm implementation, programming from a variety of biotechnology platforms, and oversee quality check. Design and prepare materials and courses for training on various bioinformatics software and
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of deep learning-based denoising frameworks and sub-tomogram alignment for cryo-electron tomography datasets, to support the analysis of the performance of various denoising algorithms. This role will