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that algorithmic parameters are tuned so that the over-approximation of the computed reachable set is small enough to verify a given specification. We will demonstrate our approach not only on ARCH benchmarks, but
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clinical pulmonologists and immunologists to study the molecular mechanisms that underly airway tissue homeostasis and asthma pathogenesis. In addition, our group aims to develop new computational algorithms
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Group or Departmental Website: https://plevritislab.stanford.edu/ (link is external) https://ccsb.stanford.edu/ (link is external) How to Submit Application Materials: Go to: https
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Systems will participate in the research efforts of developing systems integration, analysis, design, control, and/or optimization models and algorithms for smart energy systems to enable smart and healthy
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of the Wallenberg Centre for Quantum Technology (WACQT, http://wacqt.se ). The core project of the centre is to build a quantum computer based on superconducting circuits. You will be part of the Quantum Computing
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Description The Laboratory for Computer-Human Intelligence (CHI-lab, https://www.x-labs.xyz ) in the Division of Engineering, New York University Abu Dhabi, is seeking a highly motivated
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. $75,000+ per year + post-doc benefits Appointment Start Date: Immediate Group or Departmental Website: https://www.healthrexlab.com/ (link is external) How to Submit Application Materials: Email application
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 16 days ago
of models and observational data using Python, Matlab, R, etc. Expertise required in developing new models, algorithms for dispersion, gas-phase chemistry and/or aerosol microphysics model Preferred
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 16 days ago
, algorithms for dispersion, gas-phase chemistry and/or aerosol microphysics model. Preferred Qualifications, Competencies, and Experience Desired qualifications are a) atmospheric and aerosol chemistry, b
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a 3-year DOE-sponsored project that started in September 2024. The Postdoctoral Research Associate working on P1 will develop and test deep learning algorithms for model emulation and model parameter