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innovative methods for the large-scale spatial and temporal analysis of interferometric SAR data, with particular focus on monitoring surface deformation and active geomorphological processes. The objective is
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project intends to discover, using video games, what structures of social interactions can foster such large-scale cooperation. The project will first build a formalism for mechanisms driving cooperation
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Doctoral Scholar-NRSA awarded an extramural fellowship. Clinical and Translational Data Science Postdoctoral T32 Training Program. The goal of this postdoctoral training program is to leverage the large
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Learning Lead Scientist, you will: Lead the development and execution of multiple AI/ML projects related to multi-scale, multi-cellular immune system modeling. Develop, execute, and implement AI/ML
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Proficiency in at least one programming language (Python, C++, …) Keen interest in neuroscience is essential Experience with modelling, analysis of complex dynamical systems, simulation, analysis of large-scale
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collaborate with the QuaTrEx developers. Job description As part of the MALOQ project, you will train state-of-the-art ML models to learn atomic, electronic, and vibrational properties of large-scale atomic
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, data integration, and machine learning methods across large scale multi-omics datasets. The Barr and Secrier teams have successfully worked together over the last five years, leading to three joint
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on multiscale study of hydrogen embrittlement in steels. The primary mission of the postdoc is to support experimental efforts as well as large scale simulations by means atomistic simulations. Designing and
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, reproducible tools and datasets. • Infrastructure and benchmarking for large-scale social-science simulation and validated workflows. The group website is https://torrvision.com/ Feel free to add Professor
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Affairs. The FY25 minimum is $76,383. The research group led by Dr. Zihuai He (https://profiles.stanford.edu/zihuai-he (link is external) ; https://www.zihuai-he.com/ (link is external) ) at Stanford