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machine learning algorithm to improve the modeled surface meltwater in the Goddard Earth Observing (GEOS) model. Advocating and adapting the model based on collaborator feedback is key to the success
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algorithms and complexity theory, including in both well-established settings (e.g., sequential computation on a single machine and distributed/parallel computation on multiple machines) as well as emerging
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photoacoustic and ultrasound imaging and sensing systems. Develop image reconstruction and processing algorithms. Perform data analysis to extract physiological information from the data. Outstanding Benefits
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back-end), cloud technologies (AWS, GCP), and databases. Strong understanding of data structures, algorithms, and software engineering principles. Preferred Qualifications ● Experience with
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data generated by the core Development and modification of computational algorithms to facilitate data analysis at UB; participating in manuscripts and grant applications, Figure generation; Custom data