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Field
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a highly motivated and skilled Postdoctoral Researcher to join our team on an innovative project focusing on the biological control of legume diseases using microalgae–phosphite–based strategies
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Interatomic Potentials) code for ternary compounds with variable composition with crystal structure optimization algorithms (evolutionary, random, etc.); - Application of the CSP DFT/MLIP methodology to various
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includes both theoretical and experimental components. This fundamental research aims to open new perspectives on various topics: optimizing the stability of micro-mechanical systems, controlling the energy
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of interest include: Robot modelling, Nonlinear and Optimal control, Reinforcement learning, and Data-driven modeling and control. The Post-Doctoral associate will be based at NYU Abu Dhabi and will directly
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for lithium-ion battery testing integrated with an EIS system. Through design-of-experiment, the setup will be employed for controlled aging of the cells. Diagnostics and characterization will follow, including
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part of a larger EU project entitled “FEDORA - Federation of network optimization services, simulation foresights, and data alchemy for adaptable, agile, secure, and resilient multimodal traffic
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expert on the use of optimal transport theory in inverse problems, Prof. Elvander is working towards making the framework a powerful tool for applications in signal processing and control. Your role and
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to control elastic wave propagation at gigahertz frequencies. The recruited postdoc will work in close collaboration with other members of the team who will perform the optical and acoustic characterization
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, aiming to create automated and AI-assisted microscopy workflows for large-scale human cell imaging and modeling. You will be responsible for developing and optimizing wet-lab and imaging protocols
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challenges in optimizing heat transfer, cost-effectiveness, and integration with façade panels. We aim to create scalable, sustainable building solutions. The project is integrated in an international project