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graduates of PhD programs in statistics, economics, computer science, operations research, or related data science fields. The position provides opportunities to participate in rigorous, quantitative research
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such problems within 1-2 years and bringing them to closure. Ideal candidates will have a strong foundation in any of the following fields: Science (e.g., physics, chemistry, data science); Engineering (e.g
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, and capacity across diverse markets. The ideal candidate will have experience working with restricted-access Census data and hold Special Sworn Status (or be eligible to obtain it). Applicants should
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big data and AI at its core. A central goal of the project is to build a foundation model of the visual brain—a “digital twin” that captures neural activity and intelligent behavior at unprecedented
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preferred • Experience in image processing and analysis also preferred • The candidate will report directly to the Principal Investigator and will successfully carry out experiments and analyze the data
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expected that at least four fellowships will be awarded. Research areas eligible for the fellowship include quantum chemistry, quantum communication, quantum computing, quantum information, quantum gravity
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Posted on Sat, 10/11/2025 - 14:51 Important Info Deprecated / Faculty Sponsor (Last, First Name): Sheltzer, Jason Stanford Departments and Centers: Rad: Radiation Biology Stanford Cancer Center
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appropriate. Engage in professional development, grant-writing, and optional training in implementation or data science. Appointment Details Start date is immediate and contingent on candidate experience
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, molecular biology, and in vivo models. Analyze and interpret data, integrating experimental and computational findings. Utilize bioinformatics tools and techniques to analyze high-throughput sequencing data
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Science Lab is seeking a highly-motivated postdoctoral scholar to lead a large-scale, community-based, clinical trial of behavioral treatment for childhood obesity. The Solutions Science Lab designs