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-quality research, including theoretical and/or empirical contributions Required Qualifications: PhD in computer science, operations research, applied math, statistics, or a related field Strong background
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communicate by flexibly reasoning about what other agents know and want. Recently, we have been exploring how this framework of inferential social learning can be applied to develop socially intelligent
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variety of psychometric issues. He is interested in the development and evaluation of methodologies in psychometrics and is especially excited about building the Item Response Warehouse, a tool meant to
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are currently supporting hundreds of schools around the United States (and abroad) with a more efficient and precise approach to assessment. Through this research practice partnership model we are also able
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variety of simulation and optimization techniques. Key areas of interest may include control theory, robust optimization, or distributed optimization. 2. The second candidate will focus on applied research
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expectations. Two years being the strongly preferred term. The position is in person. You can find out more about our work on our research lab’s website: www.globalcapitalallocation.com (link is external) . A
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disciplines such as physics, statistics or math. Have acquired machine learning, generative AI and computer science. Welcome either wet or dry background or both. Be highly creative, rigorous, collegial and a
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experience building ML systems, designing and running experiments in PyTorch or JAX Strong publication record in top machine learning conferences (e.g. NeurIPS, ICML, ICLR). A strong background in theory is a
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Appointment Term: Two years Appointment Start Date: Around end of summer 2025 Group or Departmental Website: https://digonnetgroup.stanford.edu/ (link is external) How to Submit Application Materials: silurian
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involve working directly with school districts to implement ROAR, designing best practices around multi-tiered systems of support, and building out the recommendations and professional development