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areas of nanoscience and nanotechnology. Job Title: Postdoctoral researcher - Green SELf-Powered NEuromorphic Processing EnGines with Integrated VisuAl and FuNCtional Sensing (ELEGANCE) Research area or
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and 2D materials, and oxides. Fabrication of functionalized Pb-free MHPs by solution processing methods. Fabrication of complete Pb-free MHPs solar cells and memristors (TFTs). Stability analysis
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in altermagnets to encode and process information. The project involves close collaboration with experimental and theoretical partners, including large-scale synchrotron facilities. The work will be
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evaluation and development of novel PEC systems. · Design and implement in-situ TEM experiments using the available gas and liquid sample holders to study dynamic processes in real-time, under controlled
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the development and assessment of neurotechnology aimed for invasive brain-computer interfaces. In particular, the work will include in vitro assessment of the performance of electrophysiology neural
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core of our platform. We want candidates with strong backgrounds in: Machine Learning & Optimization: Practical expertise in Gaussian Processes and Bayesian Optimization (BO). Experience with custom
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approaches, where data storage and processing occur simultaneously at the materials level, inspired by the operation of the brain. This includes research on unconventional computing paradigms, such as
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evaluation and development of novel PEC systems. · Design and implement in-situ TEM experiments using the available gas and liquid sample holders to study dynamic processes in real-time, under controlled
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with high temporal and spatial resolution and broad wavelength tunability. Our aim is to gain an increased understanding of the ultrafast microscopic processes related to heat and charge, and exploit
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valued. · Knowledge of chemical reactions and how to model them through computer simulations is highly valued. · Knowledge of classical molecular dynamics, including Machine Learning Interatomic Potentials