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machine learning and computer vision algorithms • Build tools for photogrammetric 3D reconstruction and defect detection • Evaluate and refine AI models using annotated data and real-world image datasets
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and existing tools to interpret, analyze, and visualize multivariate relationships in data. Create databases and reports, develop algorithms and statistical models, and perform statistical analyses
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Driven Discovery. Job Responsibilities: Analyze biomedical data with minimal supervision by performing advanced analysis, algorithm implementation, programming, and quality check. Assist senior analysts
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reconstruction algorithms that incorporate multiply-beam coherent scattering imaging in a grazing incidence geometry to improve the spatial resolution to ultimately demonstrate the utility of the novel coherent
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requirements. Ensures the completion of documentation for orientation requirements. Maintain strict control over distribution and usage of controlled substances. Appropriate response is made when discrepancies
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, implements, and maintains data collection systems and strategies. 3. Performs statistical analysis and apply data mining techniques. 4. Develops algorithms and design experiments to merge, manage, interrogate
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Description The Quantum Information team at UMass Amherst is involved with modeling and optimization of quantum hardware, as well as development of new modeling methods and algorithms, in collaboration with
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(e.g. transcriptomics, metabolomics) Knowledge of machine learning/deep learning algorithms Knowledge of systems biology approaches (e.g. genome-scale modeling) Proficient with R, Python or MATLAB Modes
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distribution of mail. Photocopying/scanning/filing. Research and data entry. Maintain and update department video/media library. Maintain department bulletin boards, assist with keeping office area orderly
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multiscale simulation methods for quantum mechanical properties of macromolecules, developing novel ways to combine quantum chemical methods and machine learning, developing quantum algorithms