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part of the European project ULTRABAT (BATTERY2030+), you will be responsible for modeling the NMR parameters of lithium ions in and at the interface of battery cathode materials. The ULTRABAT project
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scienceYears of Research ExperienceNone Additional Information Eligibility criteria the candidate should have some of the following expertises: • Gravimetry changes data processing and modelling • InSAR data
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Description The researcher will be responsible for developing and implementing a protocol aimed at studying motion processing and perception in both patients with macular degeneration and control participants
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models that account for the dynamics of the actin polymer population in the cell cortex. The analysis will be carried out using probability theory and simulation tools, and will be based on a real effort
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an atomistic model of the electrode/electrolyte interface in the batteries developed by ITEN, at the anode and at the cathode. Both electrodes are based on lithium-based transition metal oxides. These models
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dual source and in a compact way; 3) the research challenge: a more efficient process for simultaneously producing X-rays and neutrons by intense laser; 4) Methodology: Developing a comprehensive suite
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: https://gdusson.perso.math.cnrs.fr/offre_postdoc.pdf The main objective of this postdoctoral position is to work on nonlinear model-order reduction, with a particular focus on the development and
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for biomarkers in 7T images. - Development of artificial intelligence algorithms and models for the processing and analysis of MRI images/spectra, focusing on the detection of tumor tissue and the quantification
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ingredients for Earth-like magnetic fields on millennial time scales in dynamo models. The research activities are two-fold. First, the candidate will run numerical dynamo simulations with various combinations
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Description The researcher will use modeled surface ocean microplastic abundances and improved sea-spray-based emission functions to represent ocean–atmosphere transfer processes. Using the GEOS-Chem global