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SyMulDaM project involving the development of predictive models to quantify the integrity and durability of a nuclear power plant containment structure., within the mechanical engineering department
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on structural data. More information and applicaiton : https://positions.stradivarious.eu/jobs/6722909-dc11-ehec-type-iv-pili-structure-host-adhesion-and-signalling
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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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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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. 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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heritage, materials science, and physics. Supported by 19 countries, the ESRF is an equal opportunity employer and encourages diversity. Context & Job description Thesis subject: Dynamic structural
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structural characteristics that confer exceptional physicochemical properties. Considered as "fully tunable" solvents, ionic liquids allow precise adjustments of properties such as polarity, hydrophobicity
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consequence of the gut environmental cues on the EHEC virulence. More information and application: https://positions.stradivarious.eu/jobs/6722806-dc7-impact-of-microenvi… DC11: EHEC type IV pili structure
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or multilayer two-dimensional (2D) transition metal carbides and nitrides and are widely recognized as one of the fastest growing areas in 2D materials research due to their exceptional physical and structural
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Agriculture: Natural Language Interfaces over Robotic and Analytical Farming Systems In the context of the MSCA JD project GreenFieldData https://www.eu4greenfielddata.eu/ GreenFieldData: IoRT Data Management