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require close cooperation with other research groups. The position requires PhD in computer science, engineering, or a related field Excellent research track record in AI and sustainability or cloud
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Postdoctoral Researcher in Machine Learning of Isomerization in Porous Molecular Framework Materials
broad range of applications. Computational chemistry and Machine Learning increasingly underlies MFM research to search or screen candidate MFMs prior to synthesis. A major drawback when applying
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combine everything from physics and chemistry to civil and electrical engineering. The Materials Science and Engineering Department in the College of Engineering is seeking a postdoctoral scholar to join
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Application Materials: To apply, candidates must create an account on Slideroom (link is external) , the application platform used by the Abbasi Program in Islamic Studies, and upload the application materials
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subdisciplines including computational chemistry, organometallic chemistry, materials chemistry and forensic science, to name only a few. We have a full line of degree programs in chemistry education that
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JOB SUMMARY The Audette Lab of Flexible Sensory Processing (Psychological Sciences, UConn Storrs) is seeking a talented scientist for a fully funded, full-time post-doctoral research associate
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semiconductor science at Swansea University’s new state-of-the-art Centre for Integrative Semiconductor Materials (CISM) and will contribute significantly to the EPSRC programme grant "Terahertz frequency devices
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, machine learning, data sciences, algorithms, databases, cloud computing, software engineering, networking, operating systems , security and computational materials science. Description of the position and
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some flexibility possible Group or Departmental Website: https://bodymri.stanford.edu/ (link is external) How to Submit Application Materials: To apply: Send the required application materials to Leslie
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About the Role This Postdoctoral Research Associate (PDRA) position is part of an exciting EPSRC-funded programme, "Enabling Net Zero and the AI Revolution with Ultra-Low Energy 2D Materials and