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Apply now Do you want to work at the intersection of root development and plant-microbe interactions and discover how microbes induce stress-protective layers in crop roots? This PhD position might be a
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system performance and guiding the design process. 2. System Optimization for Cost and Performance: Using your numerical model, you will conduct extensive optimization studies. The goal is to fine-tune
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work on the following: Design of an efficient foundation model (FM) for generalization across patient anatomies, pathologies, and coil arrangements to infer optimal sensor settings from partial data
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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
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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 classical digital computers
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Vacancies PhD position in project "Mechanisms of non-invasive functional connectivity modulation (COMO)" Key takeaways We look for a researcher with a passion for studying the function of the brain
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provide scientific and translational skills training to 16 Doctoral Candidates (DCs) with three-year fixed-term positions, divided over the 11 beneficiaries in 9 countries in Europe. Each DC will work on an
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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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to work on the design and implementation of Oscillatory Neural Networks (ONNs) for physics-based computing applications. You as the successful candidate will be an integral part of the prestigious ERC
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identifies optimal materials and AM processes based on performance, sustainability, and reusability criteria. They will develop and validate this methodology by integrating material databases with digital