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controls; data acquisition (DAQ); and combustion/emissions characterization. • Focus Area #2 - HyPower: Demonstration of Offshore Wind Generated Hydrogen Usage for Domestic Heating and Power – involving
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to peer-reviewed publications and/or open-source software releases in computational neuroscience. ● Familiarity with scientific software development best practices, including version control (Git
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releases in computational neuroscience. * Familiarity with scientific software development best practices, including version control (Git), automated testing, and documentation for open-source research
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to peer-reviewed publications and/or open-source software releases in computational neuroscience. ● Familiarity with scientific software development best practices, including version control (Git
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longitudinal and regression methods (e.g., linear mixed models, generalized additive models), survival analysis, and meta-analysis. * Experience with version control and reproducible workflows. * Effective
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, tape-out, and testing, preferably with applications to AI systems ● Design, analysis, and modeling of AI hardware such as deep neural network accelerators or neuromorphic computing. ● Emerging AI
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controls; data acquisition (DAQ); and combustion/emissions characterization. • Focus Area #2 - HyPower: Demonstration of Offshore Wind Generated Hydrogen Usage for Domestic Heating and Power – involving
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proficiency with longitudinal and regression methods (e.g., linear mixed models, generalized additive models), survival analysis, and meta‑analysis. ● Experience with version control and reproducible
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proficiency with longitudinal and regression methods (e.g., linear mixed models, generalized additive models), survival analysis, and meta‑analysis. ● Experience with version control and reproducible
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and environmental conditions. Candidates should have a strong publication record in mobile robotics. A strong focus on sensing and control systems, demonstrated through hardware-validated experiments