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Field
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: Support the RE-STEEL project research team in the main research tasks. Functions to be developed: Define basic structural reliability curves for different reference periods. Participate in the SHM strategy
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exploring the evolutionary trajectories of energetic frustration from ancestral to extant proteins, combining ancestral sequence reconstruction, structure prediction, and statistical energy models
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connectivity analysis and structural MRI data analysis. Strong background in neuroscience and psychology. Experience working with clinical datasets, neuropsychological assessments, and pathology-related
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structure, dynamics, and switching mechanisms at the nanoscale, including optical manipulation of polarization states. Design and execution of experiments demonstrating optical control of ferroelectric
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fabrication by sputtering (e.g., magnetron sputtering; thin-film deposition workflows). • Materials characterization methods (morphology, structure, composition), e.g., SEM/EDS, XRD, profilometry, IBA, etc
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extensive electromagnetic modeling to optimize the waveguide structures for minimal loss, efficient confinement, and effective mode matching with external optical components. Particular attention will be
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functioning, promoting natural biopore formation, or modifying root exudation patterns to stimulate microbially mediated improvements in soil structure. Despite ongoing advances, significant knowledge gaps
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Offer Description ROCINANTE is a 5-year ERC-Consolidator Grant aiming to unravel and tame the non-linearly oscillating structures and turbulence present in electrodeless plasma thrusters for in-space
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electrochemistry, ferroelectricity and magnetism; magneto-ionics in patterned structures and thin films; atomic force microscopy (including magnetic force microscopy, piezo-response force microscopy, Kelvin probe
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colloidal routes, enabling precise control over size, morphology, composition, and structural complexity. This role offers an unparalleled opportunity to lead the computational core of a cutting-edge