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: Exploring how non-classical states of light can enhance modern microscopic imaging techniques. Designing setting up and executing the experiments Developing relevant algorithms for experimental data post
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enhance modern microscopic imaging techniques. Designing setting up and executing the experiments Developing relevant algorithms for experimental data post-processing Mentor and work closely with multiple
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humanistic lens (e.g. critical algorithm studies or critical artistic work). These lines of inquiry are by no means exhaustive, but reflect our belief as a department that 1) we cannot have AI systems
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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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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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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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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