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• Assists with the development, evaluation, and/or application of computational and statistical methods including artificial intelligence and machine learning algorithms and software for the analysis
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. Experience: Experience in a research environment is highly preferred. Background and work knowledge in algorithms, scientific computing, and machine learning or statistics is preferred. Proficiency with C/C
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to testing. Analyses, designs and builds component-based applications including introduction of an application layer, modeling techniques, component and object-oriented design, complex algorithmic
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bioinformatics, computational biology, and clinical genomics to assist in identifying, evaluating, and incorporating relevant algorithms and software. Educates and mentors colleagues, investigators, fellows, and
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, and visualization techniques to assist with the development, evaluation, and/or applications of algorithms, methods, and software for data analysis. Responsibilities include querying databases, data
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algorithms, scientific computing, and machine learning or statistics is preferred. Proficiency with C/C++, Java, Perl, python, and the Unix (Linux) environment is a plus. Experience in manipulating, analyzing
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outcomes. Are you ready to be a part of breakthrough research? The Research Software Engineer is a key contributor to the AIM Program research team. Under the supervision of Principal Investigator and
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analysis of nuclear cardiology data using novel algorithms and machine learning techniques, and on the development of integrated motion-corrected analysis of positron emission tomography (PET)/computed
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health. You can continue your career journey with us! The Slomka Laboratory focuses on developing innovative methods for fully automated analysis of nuclear cardiology data using novel algorithms and
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health. You can continue your career journey with us! The Slomka Laboratory focuses on developing innovative methods for fully automated analysis of nuclear cardiology data using novel algorithms and