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Field
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data and developing the algorithms and tools that enable the work of their team. Thus, the ideal candidate for this position must have a biological background, the ability to translate scientific
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other constituencies. Develop and maintain supporting documentation of measurement methods and algorithms, data sources and reporting processes. Conceptualize and develop cross-functional client/unit
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to contributions in top-tier international journals and real-world implementations. Responsibilities: Develop and refine algorithms for decision optimization and risk control, utilizing big data and advanced
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climate events in the Western US. CW3E is developing and implementing weather and climate observations, numerical models, machine learning algorithms, and decision support tools focused on atmospheric and
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working in the exciting and dynamic fields of deep learning and medical imaging. The main focus will be to develop novel deep learning algorithms to analyze medical imaging data (e.g., ophthalmology
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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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Benefits . Position Summary The position contributes to the conceptualization, design, development and delivery of biomedical informatics research projects, addressing all areas of clinical and translational
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developing an AI machine learning algorithm to analyze how experimental parameters ( 3D printing and electrospinning) affect the design. Work with PhD students in data collection (physical and mechanical
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, research website maintenance, clinical coordination in experiments, group meeting minutes organization Aiding in developing an AI machine learning algorithm to analyze how experimental parameters ( 3D
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learning (ML) for high-fidelity data ‘stitching’. The integration of data from multiple analytical platforms is critical for advancing the understanding of complex biological and chemical systems. This work