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with programmable polarization for analog memory and spike-based computing. The researcher will work in a multidisciplinary environment combining thin-film growth, AFM/KPFM, electrical characterization
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. The successful candidate will strengthen the theoretical backbone of the project by extending the SOT formalism used by these tools beyond its current spin-only, itinerant-carrier description. Main Tasks and
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the development of large scale flexible graphene based technology. The researcher will be in charge of growing the material and characterize them additionaly to the development of novel protection strategies
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sintering with conventional thermal sintering in terms of electrical conductivity, adhesion, mechanical stability, and substrate compatibility. The candidate will perform material and device characterisation
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, engineering or physics. Knowledge: Computational programming, machine learning, quantum transprot, device simulation. Professional Experience: use of device simulation codes applied to 2D materials. Personal
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required. Main Tasks and responsibilities: The researcher will be in charge of supporting the development and optimization of nanomaterial-based biosensing platforms for biomedical applications
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: The researcher will contribute to the team ultimate objective of developing of energy autonomous neural interfaces. The researcher will be in charge of the finite elements simulations to predict and design novel
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and perform precision measurements in variable temperature cryostats, probing altermagnetic states and their control with electric fields. Work within a dynamic team to troubleshoot experimental
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Engineering, Data Science. Knowledge: Deep expertise in electron microscopy, particularly STEM and EELS methods. Proven experience in designing and conducting in-situ TEM experiments. Familiarity with energy