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, you will generate datasets from electronic structure theory calculations using Quantum ESPRESSO, Wannier90, and EPW. You will apply the developed E(3)-equivariant AI framework to quantify band
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the research project Website for additional job details https://doctoratsindustrials.gencat.cat/doctorats/patologia-respiratoria-en-gal… Work Location(s) Number of offers available1Company
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to apply Website https://www.academictransfer.com/en/jobs/362176/phd-spotsize-converter-developm… Requirements Specific Requirements Masters degree in electrical engineering, applied physics, photonics
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Max Planck Institute for Solid State Research, Stuttgart | Stuttgart, Baden W rttemberg | Germany | about 1 month ago
Materials / Electronic Structure & Quantum Many-Body Theory / Nanoscience / Solid State Spectroscopy / Solid State Ionics & Batteries / Bioinspired Materials / Quantum Electronics / Organic Electronics
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on information theory, machine learning, and control to analyse how local variability, sensor drift, and platform differences affect both global model performance and human supervisory factors such as workload and
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field data, experimental data, and field experiments. Salary is $70,500 annually, plus benefits. Expected start date is mid-June 2027. For examples of our research, see our faculty pages: https
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of the project is to develop statistical theory, methodology, and computational methods for such complex data problems, with a particular focus on models for latent variables and their connections to modern
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dynamics, and density functional theory (DFT) can be combined to accelerate the discovery and design of next-generation organic semiconductor materials with tailored optoelectronic properties. The project
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), singular optics, using electrons, atoms and light and the exploration of complex systems using statistical field theory. "Catastrophes on order-parameter manifolds" (with Dr Alexis Bishop and Dr Timothy
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Biotechnological and Biomedical Research: Ethical and Institutional Assessment of Research Ethics Committees and Their Contribution to Responsible Innovation. Where to apply Website https://www.upv.es/entidades/vinv