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developing foundational statistical/AI/data-driven techniques for uncertainty quantification and visualization of complex, large-scale 2D/3D scientific data. Publishing research in leading peer-reviewed
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academia, participate in the University’s Individual Development Plan policy for postdoctoral scholars, have a PhD or equivalent terminal degree (such as MD, DVM, PsyD, PharmD, etc.), and candidates should
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Postdoctoral Associate Required Qualifications: (as evidenced by an attached resume) ● PhD (or foreign equivalent) in hand by May 2026. ● Strong background in neuroscience. ● Solid
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that is required for the mechanical and dynamical behavior of the growing embryo. Closely interact with PhD fellows and post docs on the project that is focusing on advanced imaging, active matter physics
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of Human-Centered AI Technologies, leveraging advanced Generative AI and novel interaction technologies. PostDoc and PhD Positions in Human-Centered AI Potential Project Ideas are: AI in Education AI Safety
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contact Hong Zhu, Professor, at hzhu2m@virginia.edu. Minimum Requirements: Doctoral degree Preferred Qualifications: PhD in biostatistics, statistics, or a related quantitative field by the appointment
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and QResearch. You will contribute to other work packages informed by the results, including qualitative work and a prospective study. About You Candidates should hold a PhD (or be close to completion
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that incorporates a broad range of neutrino and dark-matter models, assessing their effects on large-scale-structure (LSS) statistics as measured by the power spectrum and bispectrum of galaxies or intensity maps
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applicants who combine strong quantitative skills with a deep interest in the fundamental mechanisms shaping plant communities and their response to climate change. Qualifications: • PhD in Ecology or a
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methodologically strong and motivated to work at the intersection of applied machine learning, social sciences, and natural sciences. Essential qualifications: A completed PhD in data science, computer