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achieved in fabrications of coupled double-drum resonator networks, financially supported by EU project Chist-ERA NOEMIA and French ANR-MORETOME projects. A simple reservoir computing function and training
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. The successful candidate will also participate in data analysis, dissemination of research results through scientific publications and conferences, and technology transfer activities. Design and fabricate three
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in dedicated metabolomic analysis workflows: construction of molecular networks, querying spectral databases, in silico annotation, calculation of metabolic diversity indices - Ability to analyse
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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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of the DBSCI (imaging platforms of the LPCV, IBS, PFNC, equipped with instruments such as FIB-SEM and cryo-TEM, etc.). You will work in close collaboration with IBS to build a local network aimed at developing
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statistical / machine learning methods, pathway/network analysis or artificial intelligence approaches. Other requirements: The candidate should have a PhD or equivalent degree in bioinformatics, artificial
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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