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Are you interested in developing computational tools to understand the detailed mechanical behaviour of multi-phase materials? Then this PhD position at Chalmers University of Technology might be
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and computational methods within quantum mechanics and statistical physics with the aim to design alloys for rare-earth-free high-performance permanent magnets. You will use computational techniques
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at the Division of Fluid Dynamics, within the Department of Mechanics and Maritime Sciences at Chalmers. The project is carried out in collaboration with Vattenfall Research and Development, and is part of
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effort at the intersection of machine learning and applied mechanics. The focus of this position is on extracting information about what a neural network has learnt in a symbolic and (human) interpretable
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Luleå University of Technology is in strong growth with world-leading competence in several research areas. We shape the future through innovative education and ground-breaking research results, and
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molecular mechanisms that drive its invasive behavior, both general and patient-specific. Using cutting-edge spatial techniques and CRISPR-based methods, we build data-driven models that link gene regulation
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Join the cutting-edge RAM³ project: Unlocking the Potential of Recycled Aluminium through Machine Learning, High-Throughput Microanalysis, and Computational Mechanics. We are offering a PhD position
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of responsibility A key research focus is tumor development and mechanisms of treatment resistance. This project includes studies of dynamic biomarker monitoring during treatment ("on-treatment"), where tumor tissue
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, in or outside Sweden. Other requirements include: Solid background in organic synthesis. Ability to document experience in handling air and moisture-sensitive reactions and reagents. Prior experience
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proteins and mechanisms involved in flavivirus replication, infection, and pathogenesis, which could ultimately lead to new treatments for flavivirus infections. Examples of techniques you will use include