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into the corona. During a vortex's lifetime, co-spatial magnetic field lines connecting different layers of the solar atmosphere are often forced to rotate. This rotation is then transferred to higher atmospheric
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operation. To design optical metasurfaces and material platforms exhibiting time-varying responses. Using adjoint-based optimization and spatial structuring, to realize complex time-modulated medium dynamics
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have: Ph.D. in Biostatistics, Statistics, Bioinformatics, Data Science, or related field; with (i). technical skills such as Proficiency in R, Python, or SAS for statistical analysis and modelling; (ii
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BIOS-06/A - A synaptic mechanogenetic technology to repair brain connectivity - CUP: J93C22002400006
of neural networks. The technology will be validated in mouse models of neurological disorders. Where to apply Website https://pica.cineca.it/units Requirements Additional Information Eligibility criteria
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group Physical Geography, which has a sound reputation in the research domains of landslides, “human impact” on geosystems and spatial modeling of geomorphic processes as well as in the applied research
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. We apply these advanced imaging technologies to clinically meaningful model systems in order to evaluate their robustness, scalability, and added value for translational research. By combining super
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propagation in spatially periodic, non-dissipative media, such as electromagnetic, elastic, or acoustic waves in metamaterials. This decomposition can also be applied to analyse the growth or decay of flow
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interpretable framework for tensor analysis. Specifically, the project will: Develop novel, modular statistical solvers to integrate domain-specific knowledge directly into latent variable models. Account for
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, the individual will: 1) Analyze acoustic data with existing software (Echoview, R, Python). 2) Collaborate with USGS scientists on field data collections. 3) Investigate the spatial patterns of fish and
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tasks. Key Competencies Integrates GIS, remote sensing, and environmental data for spatial modelling. Proficient in or able to learn ecosystem service software (e.g., InVEST, ARIES). Strong analytical