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Your Job: In the CrowdING project, you will analyze experimental data from large crowds and develop quantitative measures to describe their spatial structure. To do this, you will use and expand
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of osteoarthritis). This project aims the following main objectives: Define patient-specific key functional and mechanical requirements for large osteochondral scaffolds. Produce biocompatible porous 3D structures
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NIST only participates in the February and August reviews. In many application areas, materials development increasingly involves manipulating the local atomic order to optimize properties
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design and construction of capital improvements and major infrastructure projects for New York University's Planning and Construction Division to ensure projects are delivered in accordance with approved
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, among several others. Some examples are provided next: a) Structural analysis, uncertainty quantification and optimization. b) In house software development required to achieve the objectives
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writing content for grant applications. Will collaborate with the team to design, optimize, and standardize experimental and analysis pipelines to accelerate high-quality publications. Will review trainee
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Responsibilities Develop, test, and optimize AI-driven pipelines for 3D reconstruction and rendering. Implement and evaluate neural rendering techniques using real-world digital heritage datasets. Collaborate with
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structures, access to space, multidisciplinary design and concurrent engineering, uncertainty treatment and optimisation, machine learning. (https://www.strath.ac.uk/ ) Task description for your Individual
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background, topics of interest include structure or dynamics inference, optimal control in and of networks, or characterization of fundamental limitations. The complex networks of interest include engineered
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ionogels. The candidate will test these electrolytes at LAAS on locally developed electrodes and will carry out research stays at PolyMAT to optimize their integration with MnO₂-based systems. - ICMAB-CSIC