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quantify intraspecific and interspecific interactions, taking into account environmental, spatial and temporal variation. TASKS: The work is based on data analysis and modelling approaches. An initial phase
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needed for wet-bulb temperature retrieval -Co-locating satellite data with ground-based HadISD stations -Running neural networks and finding the architecture best suited to a case study on India
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optimize hardware neural networks made of approximately one hundred magnetic tunnel junctions, with radio-frequency inputs, in order to classify RF signals directly in the physical domain. Chains of magnetic
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. Activities - Literature review and data compiling - Planification and realization of biochemical experiments (assembly of biochemical reaction networks) - Data analysis and regular (weekly) reporting
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-interaction networks associated with the centrosome and primary cilium, with particular emphasis on the molecular mechanisms linking protein disorder, multivalency, cellular organization, and human disease
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numbers effects beyond what is currently possible. • Perform mathematical and numerical analysis of tensor network methods. • Work on GPU implementation of tensor network solvers. • Disseminate research
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socio-hydrosystems, from stormwater networks and surface waters to wastewater treatment plants and receiving environments. The project relies on innovative high-resolution mass spectrometry (HRMS)-based
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network that allow different sound dimensions to propagate along the auditory pathway. Frequency representation, or tonotopy, is present as early as the peripheral level, and the relationship between neuron
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semiconductor quantum technologies and condensed matter physics, enabling the exploration of correlated charge and spin states in scalable quantum dot networks. The successful candidate will: • Develop
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at peace—through the analysis of chronic conflicts, daily or structural violence masked by formal peace agreements, or practices that straddle the internal/external security dichotomy. Militarization