53 composite-residual-stress-development Postdoctoral positions at Stony Brook University
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experience with numerical modeling codes such as ASPECT or Underworld Geodynamics (UWG). Preferred Qualifications: Familiarity with landscape evolution modeling tools like Fastscape or BADLANDS is highly
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mechanistic biology and molecule development. Preferred Qualifications: Peer-reviewed and published research paper. Postgraduate experience in mechanistic biology and molecule development. Therapeutic procedure
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experience in mechanistic biology and molecule development. Preferred Qualifications: Peer-reviewed and published research paper. Postgraduate experience in mechanistic biology and molecule development
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. Experience in cloud and atmospheric boundary layer observations, modeling, and data analysis, or in Raman and Doppler lidar system development. Strong software development background with programming
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experience in mechanistic biology and molecule development. Preferred Qualifications: Peer-reviewed and published research paper. Postgraduate experience in mechanistic biology and molecule development
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, Physics, or a closely related field. Experience in cloud and atmospheric boundary layer observations, modeling, and data analysis, or in Raman and Doppler lidar system development. Strong software
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incumbent will conduct research within the predetermined research scope and methodology, and conduct research in the fields of quantum-engineered power grids and AI-enabled smart grids. ● Develop
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incumbent will conduct research within the predetermined research scope and methodology, and conduct research in the fields of quantum-engineered power grids and AI-enabled smart grids. ● Develop
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, Physics, or a closely related field. Experience in cloud and atmospheric boundary layer observations, modeling, and data analysis, or in Raman and Doppler lidar system development. Strong software
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strong gravitational lensing, (3) coding and software development, (4) student mentorship experience, (5) statistical inferences from astronomical data or (6) work in large collaborations. Brief