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of computer science fundamentals including algorithms, data structures, and object-oriented programming. Proficiency in C/C++ or similar language Working with large codebases Containerization (Docker) and building
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Required Skills: Current or planned MS or PhD student at the University in CS or related field. Solid background and working knowledge of computer science fundamentals including algorithms, data structures
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integrating sensors, actuators, and control electronics. Use maker tools (e.g., CAD design and 3D printing) to prototype and refine rig components. Run daily behavioral sessions, meticulously collecting and
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disease. The primary focus of the lab is to elucidate how ribosomes act as sensors of cellular stress and to discover the ribosome-mediated quality control and signaling pathways that govern cell fate
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, leading to more devastating extreme events and a greater need for tools for adaptation and planning. A growing wealth of observational data from satellites, sensor networks, foundation models, gridded
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outcome research, including classification, regression, clustering, and deep learning algorithms. · Statistical Software: Proficiency in statistical software such as SAS, Stata, R or Python, including
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in healthy and diseased states. We broadly investigate (1) the role of ribosomes as critical sensors of cellular stress and (2) focus on identifying and characterizing ribosome-mediated quality