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Systems will participate in the research efforts of developing systems integration, analysis, design, control, and/or optimization models and algorithms for smart energy systems to enable smart and healthy
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neuroscience to investigate the emergence and progression of psychopathology. Develop novel computational tools, algorithms, and analytic pipelines to characterize brain network representations underlying mental
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inverter-based resources for performing real-time simulations in Opal-RT. Develop and prototype advanced control algorithms for grid forming and grid following inverters. Develop and demonstrate
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), Arabic, Tagalog, Farsi, French, or/and Yoruba. Position Overview The postdoctoral research associate will work closely with the Ko Research Group to develop novel theories and algorithms for studying
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communicate by flexibly reasoning about what other agents know and want. Recently, we have been exploring how this framework of inferential social learning can be applied to develop socially intelligent
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. This project employs massive-scale genome sequencing, data that will enable a wide range of novel, independent projects. The project also involves a substantial theoretical component including algorithm
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Qualifications - Experience in developing algorithms for analysis of biological data. - Experience with single cell and spatial transcriptome data analysis. - Experience in supervised and unsupervised machine
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within the last 0-5 years) in computational science, mathematics, physics, or a related field with a focus on image processing. Proven experience in algorithm and software development. Expertise in Python
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algorithms to develop cybersecurity, optimization, and control solutions for real-world grid applications. Candidates will be required to work in at least 4 of the following areas: Build, simulate, and
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UB faculty and students as well as our external collaborators located at NASA Goddard Space Flight Center and NASA Jet Propulsion Laboratory. The work consists of contributing to the development of a