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at other 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
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at interfaces and in the bulk. The work will involve operando electrical and optical characterizations, spatially resolved analyses of performance and degradation mechanisms, and the development or adaptation
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of nanodevices and their multiple functionalities for bio-inspired computing. The team includes two permanent CNRS researchers, two Thales researchers, 4 post-docs, and 4 PhD students. Where to apply Website https
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recommendation letters etc. The job start date is negotiable. Additional comments Mentor: Jan Bauer, Faculty of Electrical Engineering, Department of Electric Drives and Traction ORCID: 0000-0002-0657-1213 https
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The applicant must hold a PhD degree or a foreign degree equivalent to a PhD degree in electrical engineering, chemical engineering, engineering physics or similar. The degree needs to be obtained by the time of
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aspects. 2 Selection criteria The candidate should hold a PhD degree in mathematics or a related discipline. Knowledge of solid mechanics, partial differential equations, asymptotic methods, numerical
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validation. The postdoctoral researcher will work within the Metasurface Team at CRHEA, in close interaction with permanent researchers, postdoctoral fellows, PhD students, engineers, and external
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collaborate with a large number of scientists around the world. Lab website: https://morl.lab.uiowa.edu/ Key areas of responsibilities for the post-doctoral fellow include but are not limited to proactively
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interests, the candidate may also participate in the further exploration of the siRNA screening results. Where to apply Website https://system.erecruiter.pl/FormTemplates/RecruitmentForm.aspx?WebID=71b73afa8
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or equivalent Specific Requirements PhD from Electrical Engineering Very good publication record Experience in Power System Simulation (distributed generation, smart grids, power system stability