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characterising training at the ENS. Beyond the outstanding academic results expected from the candidates, ENS looks for young students driven by curiosity, open-mindedness and a taste for research. ENS is rich
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in AI to study natural and artificial minds in parallel, creating the opportunity to make discoveries about ourselves and to find new ways to understand and improve AI systems. Appointments will be
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several projects in parallel Ability to work collaboratively in a team as well as independently on a wide variety of research projects Excellent communication skills Detail-oriented, focused, and highly
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Andlinger Center energy studies (ENE) or ENE-cross-listed course, with the goal of having the course material absorbed into a permanent ENE or ENE-cross-listed course that will ensure sustained benefit for
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: 282551409 Postdoctoral Research Associate D-26-ENE-00007 | Research | Andlinger Center for Energy and the Environment The Hatzell group in the Andlinger Center for Energy and the Environment at Princeton
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fields, applying advanced techniques such as large-scale data processing and GPU-accelerated computing. Access to state-of-the-art research facilities and a new GPU cluster. Collaborative and inclusive
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of atmospheric aerosols and parallel computing/software development is strongly desired. The term of appointment is based on rank. Positions at the postdoctoral rank are for one year with the possibility
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attention and decision making networks in a behaving animal model together with parallel studies in humans. The project is part of a NIMH Silvio O. Conte Center on the "Cognitive Thalamus". The successful
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environment. Expand your technical expertise while supporting research projects across multiple academic fields, applying advanced techniques such as large-scale data processing and GPU-accelerated computing
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collaborating experimental research groups. Previous experience in computational modeling of atmospheric aerosols and parallel computing/software development is strongly desired. The term of appointment is based