7 algorithm-"Multiple"-"U"-"Prof"-"Simons-Foundation" "University of Wisconsin Madison" Fellowship positions at Johns Hopkins University
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dialogue on AI governance. Manage multiple projects simultaneously, ensuring timelines are met and resources are effectively allocated. Collaboration & Knowledge Exchange Collaborate with policymakers
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to remove PFAS. To accomplish these goals, the candidate will participate in the development of AI/ML algorithms for the prediction of chemical properties, infrared and mass spectra, and ionization cross
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, aggregating them across multiple, pluralistic values if necessary, and fine-tuning models to satisfy those preferences. In the Normativity Lab we believe these approaches are likely to prove too limited
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-informed machine learning (PIML) models for the prediction of physical and chemical properties using data from experiments and computation constrained by physics requirements. § Implementing algorithms
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care models into health policy systems Research Focus Areas The postdoctoral fellow will work with multiple levels of data and analysis, from individual stakeholder experiences to organizational systems
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simulation tools § Experience with device design and layout for photonics foundries § >2 years experience with photonic device characterization including linear spectroscopy § Familiarity with multiple
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. Participation in research is strongly encouraged, and there are multiple opportunities to work with our faculty members on projects. Qualifications Three years of AP training or four years of AP/CP training