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tools such as AiiDa and ASE. Develop machine learning strategy to infer the multilayer properties from its contituents. Develop and implement artificial-intelligence-based electronic models
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rapid growth, driven by its strong track record in securing competitive grants to acquire advanced instrumentation, establish essential support facilities, and participate in transnational access
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rapid growth, driven by its strong track record in securing competitive grants to acquire advanced instrumentation, establish essential support facilities, and participate in transnational access
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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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. Requirements: · A PhD in Physics, Materials Science, Nanotechnology, Electrical Engineering, or a closely related field at the time of appointment. · Demonstrated experimental expertise and a proven track record
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communication skills with both internal and external teams. Ability to work under pressure and manage multiple tasks simultaneously. Proficiency in project management and budget tracking tools. English (high
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Experience: Demonstrated experimental expertise and a proven track record of tackling challenging research problems. Knowledge on manipulation of 2D materials and/(or spintronics will be highly valued
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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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using devices, biomaterials on nanomaterials and evidence of a developing research publication track record would be advantageous. Requirements: Person specification: The researcher appointed should be