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Field
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complex materials simulations. These agents will assist with setting up, executing, and optimizing electronic structure workflows, from standard ground-state Density Functional Theory (DFT) calculations
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researchers, both locally and abroad. Your immediate leader is Trine Aakvik Strand For more information about NorHead, visit: https://www.ntnu.no/norhead/ About the project Chronic migraine affects millions
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of optimization, inverse problems, or sensitivity analysis. Familiarity with surrogate models (ROMs, ML-based surrogates). Motivation for renewable energy and wind turbine technology. What We Offer Fully funded
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quantum chemistry to logistics, energy systems, and AI-driven optimization. These problems are widely regarded as the natural domain of quantum computers, yet they remain extremely demanding for both
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UNIVERSIDAD CATÓLICA DE MURCIA - FUNDACIÓN UNIVERSITARIA SAN ANTONIO DE MURCIA | Spain | 3 months ago
processes and waste generation points. - Characterization of industrial waste and wastewater. - Optimization of waste management and proposals for improvement. - Developing strategies based on the circular
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UNIVERSIDAD CATÓLICA DE MURCIA - FUNDACIÓN UNIVERSITARIA SAN ANTONIO DE MURCIA | Spain | 3 months ago
, fabrication, and optimization of electrochemical devices, exploring novel electrode materials, miniaturization strategies, and real-time analytical capabilities for diverse applications, including biosensing
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the Faculty of Medicine in order to optimize the conditions for preclinical and clinical translational research, research strategies and development, as well as education on both undergraduate and
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simulations and data-driven models for optimizing electrolyte formulation. The project involves close interaction with experimental partners in the AFLOW consortium and includes a planned research stay at
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-dimensional plasmonic metasurfaces. The goal is to disentangle hot-carrier and thermal contributions and optimize metasurface designs for site-selective hot-carrier generation with minimal heating. The work
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. The PhD candidate will combine materials science, computational modelling to design a novel framework that identifies optimal materials and AM processes based on performance, sustainability, and reusability