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computer science, operations research, applied math, statistics, or a related field Strong background in machine learning, optimization, and/or algorithm design Excellent written and verbal communication skills
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interdisciplinary scientific evidence. This program is funded by the U.S. Department of Education's Institute of Education Sciences (IES) (link is external) , grant number R305B220018, and housed at the Stanford
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. • Develop computational and theoretical models that bridge neural data and behaviour, leveraging modern machine‑learning toolkits. • Drive multi‑lab collaborations across SCENE; co‑author high‑impact
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omics data analysis. ●General understanding of scientific principles. Demonstrated performance to use knowledge and skills when needed. ● Demonstrated ability to apply theoretical knowledge of science
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new areas of research that cross classical disciplinary boundaries. Our department studies the surface and interiors of the Earth, Moon, and planets through laboratory experiments, computational and