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polariton accelerator” will exploit exciton–polaritons to implement artificial neural networks directly in hardware rather than in software. Exciton–polaritons are hybrid quasiparticles composed of light
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in life cycle analysis for separation science are required. Desired: Research interest in statistical data analysis is desired. Strong software skills in Excel and Minitab or other statistical
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: Experience with process modeling software such as Aspen Plus and LCA software such as GREET. The position will be located on the MIT campus in Cambridge, MA. This is a one-year position with the possibility
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evaluation methods, discrete choice experiments, systematic reviews, and meta-analysis, with high levels of proficiency in associated software (e.g., Stata, R, Ngene). Applicants should have knowledge
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software (e.g., FSL, SPM, ANTs). Demonstrated ability to conduct independent research and work collaboratively in a multidisciplinary team. Excellent communication skills and a strong publication record in
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analysis, and proficiency in statistical and computer modelling software (e.g. R, Python, Matlab, and C++) would be advantageous. The appointee will work with a research team to study the methodologies
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of squares hierarchies to prove positivity of holonomic functions - Scientific article writing - Attending conferences - Software programming LAAS CNRS Where to apply Website https://emploi.cnrs.fr/Candidat
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the energy consumption of SQL queries for both research and industry use. The project involves partners including Aalborg University (AAU), Roskilde University (RUC), and the Software Improvement Group. Your
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candidate will work with a three-person team of software engineers to integrated algorithms into the Epilepsy Navigation (EpiNav™) software platform for stereotactic neurosurgery planning. The successful
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or image analysis using Matlab, Statistica, Origin, Image J or similar software, -the knowledge of English at a level that allows free communication in terms of presentation and preparation of publications