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Field
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“Bayesian Enhanced Tensor Factorization Embedding Structure (BETTER)”, and this PhD project specifically aims at developing a unified, scalable, and interpretable framework for tensor analysis. Specifically
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reduce the energy wastage in composites manufacturing. It enables components to be produced quickly without the use of an autoclave. For complex geometries, such as those used in wing spars of considerable
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to identify, characterize, and understand structural instabilities in these materials, with measurements conducted as a function of hydrostatic pressure, uniaxial stress, and temperature. Density Functional
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focus on the synthesis and self-assembly of bio-based glycopolymers with comb-like architectures for the design of colored structural materials. These copolymers exhibit interesting properties due
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of ion conductivity in complex battery materials on a large scale. Model‑generated data will be used to identify key relationships between material structure and ionic conductivity through advanced data
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cultural awareness and professionalism. Produce clear, well-structured technical documentation that translates complex processes for diverse audiences (writing sample may be requested). Team deliverables
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Modifications (CEPLANT ) was established in 2010 as part of the Department of Physical Electronics and was funded by the European Structural Funds and has been recognized by the European Union as a Key Enabling
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. The studentship will start on 1st October 2026. Project Description Understanding structural and functional brain changes over time are essential for monitoring neurodegeneration and cognitive health. This project
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 4 days ago
, Google Cloud Spanner , and DuckPGQ ([Wolde23]) embody this shift, integrating tabular and graph-structured data within a single query framework. Replication techniques such as CRDTs ([Balegas18
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authorization. This gift funded role is expected to be one year in duration but may be renewed annually. Responsibilities Architect complex machine learning and scientific computing research projects, including