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Job Description At DTU Energy we are looking for a postdoc to work on modeling and designing a novel type of heat exchanger equipped with thermoelectric generators, to recover and convert waste heat
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: 282551287 Postdoctoral Associate: Integrating political economy insights into energy modeling D-26-SPI-00009 | Research | Princeton School of Public and International Affairs The Peng group in the School
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appointment is for one year, renewable for a second year pending satisfactory performance and availability of funding. Research topics of interest include large language models with applications to various
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Materials: Please submit the required application materials to Dr. Mei-Sze Chua at mchua@stanford.edu (link sends e-mail) Does this position pay above the required minimum?: No. The expected base pay for
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. The project will utilize and further develop upon state-of-the-art computational modelling techniques to predict excited state properties of complex materials, including but not limited to their quasiparticle
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Physics / General relativity , Gravitation Theory , Gravitational waves , particle physics around axions , Physics Beyond the Standard Model , Quantum Field Theory , Theoretical High Energy Physics
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background in nonlinear optics, ultrafast photonics, and integrated photonics, alongside the ability to develop predictive models for optical materials and photonic devices. The successful candidate will work
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academic institutions. Individual will develop and test novel computational models of the neural activity generated by electrical stimulation of the brain. Also, perform data analysis utilizing medical
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Systems Modeling. This position focuses on leveraging and developing new equation learning methods, such as Physics-Informed Neural Networks (PINNs), Biologically Informed Neural Networks (BINNs), and
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discovery. The successful candidate will develop new, openly accessible datasets and machine learning models for modeling redox-active solid-state materials. Candidates who are nearing completion