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the developed analysis tools. You will join the Large Scale Structures (LSS) group at the ILL, Grenoble, France and work mainly with the two NR machines D17 and FIGARO for the implementation of the ML
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together expertise in physics, chemistry, nanoscience, and materials engineering. For more information about IS2M, please feel free to visit the website: https://www.is2m.uha.fr/ . The PhD candidate (M/F
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Starrydata2). The work will include the implementation of machine learning models (neural networks, random forests, SISSO), generative approaches for predicting crystal structures, the use of machine learning
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concerns about external validity and equity, as underserved groups are often underrepresented due to restrictive eligibility criteria and structural barriers to participation. Even when included, patient
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. Argument(ation) mining, the new and rapidly growing area of Natural Language Processing (NLP) and computational models of argument, aims at the automatic recognition of argument structures in large resources
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. LipidBRIGHT builds on available patient cohorts, advanced technologies and established cooperations and strives to synergistically improve structural training on European level. LipidBRIGHT will nurture the
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; Giauque et al., 2023). The PhD work is structured around the following key milestones: 1. Implementation and validation of real-gas model: Develop, verify and validate real gas equations of state capable
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at CRHEA (Valbonne, 06). It will focus on the epitaxy of these new structures using MBE and MOVPE techniques and their structural and electrical characterizations which will be validated by the partners
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scattering (SANS) team. Two out of the four SANS instruments will be mainly used. D11 is designed for the study of large scale structures in soft matter systems, chemistry, biology, solid state physics and
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to the determination of crystal and magnetic structures in condensed matter systems. You will be enrolled at the Technical University of Denmark, where you will spend 6 months. The current slowdown in transistor density