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currently enrolled in a World Languages course at American University to develop their world languages skills. The Center for Language Exploration, Acquisition, and Research (CLEAR) supports the work done
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currently enrolled in a World Languages course at American University to develop their world languages skills. The Center for Language Exploration, Acquisition, and Research (CLEAR) supports the work done
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currently enrolled in a World Languages course at American University to develop their world languages skills. The Center for Language Exploration, Acquisition, and Research (CLEAR) supports the work done
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currently enrolled in a World Languages course at American University to develop their world languages skills. The Center for Language Exploration, Acquisition, and Research (CLEAR) supports the work done
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currently enrolled in a World Languages course at American University to develop their world languages skills. The Center for Language Exploration, Acquisition, and Research (CLEAR) supports the work done
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currently enrolled in a World Languages course at American University to develop their world languages skills. The Center for Language Exploration, Acquisition, and Research (CLEAR) supports the work done
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experience you need 5 years of professional experience, from which at least 3 years have been served outside of higher education, that is in the industry or other professional enterprises. Languages ENGLISH
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of Contract Temporary Job Status Full-time Hours Per Week 37.5 Offer Starting Date 5 Oct 2026 Is the job funded through the EU Research Framework Programme? Other EU programme Reference Number
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apply Website https://www.ipc.pt/bupc/concursos/form/concursos_bolseiros Requirements Research Field Environmental science » Other Education Level Master Degree or equivalent Skills/Qualifications
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Inria, the French national research institute for the digital sciences | Villers-lès-Nancy, Lorraine | France | 8 days ago
]. Simultaneously, the definition of a new property called ZX-flow [5] showed that it is possible to generalise the class of computations for which efficient circuit extraction is possible beyond those that are