16 density-functional-theory-molecular-dynamics PhD positions at Linköping University
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to either first-principles calculations or AI supported database management of high-throughput type calculations/simulations. Basic knowledge of density functional theory (DFT) is beneficial. Strong
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application! Your work assignments You will work on X-inactivation and allele-specific DNA methylation in different contexts, including X-linked diseases, autoimmune disorders, and hereditary cancer as part of
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application! Defects in next generation ceramic semiconductors. Your work assignments We are looking for a PhD student with an interest in a fundamental understanding for advanced materials and the next
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electronic devices, and enable new components with sustainable functionalities. Collaboration with industry partners will enhance the translation of research into real-world applications. The 17 Doctoral
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and small, contribute to a better world. We look forward to receiving your application! Your work assignments We are looking for one PhD student working on generative AI/machine learning, with
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application! We are looking for a PhD student in Medical Science. Your work assignments As a PhD student, you will participate in the project: Predictive markers for chemotherapy-induced toxicity in childhood
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educational environments. This position offers a unique opportunity to collaborate with leading researchers and develop innovative AI solutions at the Visualization Center in Norrköping. Your work assignments
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application! We are now looking for a PhD student in Integrated Circuits and Systems, at the Department of Electrical Engineering (ISY). Your work assignments The objectives for this position are to develop
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from Senior Associate Professor Mario Romero. Your work assignments The advertised position is part of a Marcus and Amalia Wallenberg (MAW) foundation-funded project that investigates the possibilities
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Electron Microscopy (TEM) and HAADF-STEM images. Microscopy data are often degraded by noise and scan distortions, and clean ground truth data are rarely available. This project aims to go beyond standard