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or ferromagnetic as well as its competition with other correlated phases (superconductivity, charge orders etc..), we propose to use the powerful method developed in our group, based on exquisitely sensitive magneto
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representation language. The thesis will particularly investigate approaches based on attributed graphs to model infrastructures, their topological relationships, inspection-derived observations, and the levels
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previous thesis. The innovation lies in the use of highly emissive cathodes (up to 20 A) and a new microwave-based plasma ionization source. The second year will focus on a precise experimental description
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are seeking a candidate holding a Master 2 degree in computational biophysics, structural bioinformatics, or a related field. Knowledge of statistical mechanics and/or machine learning would be an asset
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Superconductivity High-temperature critical superconducting (HTS) materials, particularly those based on REBCO, enable the development of fully superconducting magnets capable of generating very high magnetic fields
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and validated within the PhLAM team. Consequently, only limited effort will be required to acquire the experimental skills needed for this part of the project, allowing the PhD candidate to focus
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previous field campaigns, the project does not include fieldwork missions. Most of the whole genome data has already been generated and validated, the majority of the thesis work will be based
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metadata from papers using various rule-based techniques that are insufficient for reproducing scientific workflows, as they rely on predefined patterns and fail to capture contextual information such as
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comparative approach in three South American countries: Brazil, Chile and Colombia. The design of the project is based on a methodology combining three types of research: classic academic, experimental and with
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modern machine-learning techniques, will be exploited to improve the discrimination between the different polarization states. The analysis will use the complete Run 2 and Run 3 datasets collected by