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of materials and devices following the recently upgraded ISOS protocols and in-situ characterization. Process and analysis of data. Elaboration of periodic reports to keep track of the progress of the project
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) in collaboration with experimental neuroscientists. A central task and responsibility of the candidate will be to lead and execute the analysis of electrophysiological data (signal quality, biomarker
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of stability protocols for memristor characterizaiton. · Process and analysis of data. · Elaboration of periodic reports to keep track of the project progress. · Preparation of scientific manuscripts and
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highly desirable. Knowledge on AI ML/DL coding applied to STEM / EELS data analysis automation is also needed. · Professional Experience: Previous research experience in an academic or industrial setting
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beyond conventional binary "bits" toward multi-level and analog memory systems that enable richer information encoding. A major thrust of the group is the development of in-memory and physical computing
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for the analysis of physicochemical, morphological and/or thermal properties after LNs fabrication will be performed. The Postdoctoral Researcher will also be using routinely in vitro techniques that can be applied
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, Computer Science, or related disciplines. Knowledge and Professional Experience: · Knowledge of programming languages used in data analysis (particularly python) is strongly recommended. · High Performance