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for characterization of CT images. Machine and Deep learning: Develop and implement machine learning and deep learning algorithms to built detection and prediction models for CT images Performance Evaluation: Conduct
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structures, data transformation, algorithms, and data output by using appropriate computer language/tools to provide technical solution for application development tasks. Assist with documentation of code and
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improvements and algorithmic decisions. Collaborate with entomologists and field teams to improve data collection, labeling, and training dataset quality. Contribute to publications and presentations describing
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into functional and technical descriptions for use by programmers and business analysts to develop technical solutions. Develop/change data input, files/database structures, data transformation, algorithms, and
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Windows user interface program for enabling the use of NIST Mass Spectral Reference Libraries for compound identification -Maintain and extend user interfaces and data analysis algorithms for interpreting
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research related responsibilities. Other duties as assigned. In addition to the duties described above Design and implement advanced algorithms to support research projects. Work alongside Technology Lead
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. - Contribute to the development of risk-prediction tools, biomarker panels, and precision-medicine algorithms. - Participate in NIH-funded translational studies involving spatial multi-omics, proteomics