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. Required Qualifications: PhD in statistics, economics, computer science, operations research, or related data science fields Strong data science skills, including experience working with large, complex data
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and explain trends; formulate and evaluate alternative solutions and/or recommendations to achieve the goals of the program or function. Write and/or edit complex content for proposals, research grants
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algorithms, and guide the discovery of entirely new algorithms. Many of today’s most pressing challenges involve complex optimization problems—often NP-hard and extremely difficult to solve at scale
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to uncover vulnerabilities in complex systems, bridging gaps between traditional testing techniques and emerging security threats. This work involves developing novel techniques, algorithms, and software
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with a strong background in cognitive or computational neuroscience, with an emphasis on neuroimaging techniques and computational methods. The ideal candidate will possess not only a deep conceptual
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. Electrophysiology and MRI Data Analysis of Patients with Lennox-Gastaut Syndrome About Us: Stanford Pediatric Epilepsy Research is at the forefront of research in neuroscience, focusing on understanding complex
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2024) in computer science, statistics, a computational social science or related discipline. Demonstrated interest in large language models and study of change. Substantial experience with transformer
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cell biology including neuroscience, GPCRs or related techniques, and/or (3) computational biology are encouraged to apply. We welcome applications from women, minorities, and other underrepresented
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motivated postdoctoral researcher with extensive experience with item response theory models, computer adaptive testing, and related measurement methods. Demonstrated ability to bridge research (innovative
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the complexities of the human regulome through advanced cell-free DNA profiling and developing cutting-edge computational algorithms and molecular profiling techniques. Our research focuses on early cancer detection