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these processes, inform targeted in vitro experiments, and help design better biomaterials and TE strategies that harness mechanics and geometry. As a PhD candidate, you will adopt and extend in-house homogenized
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recycling of components, enabling a more circular life cycle. The work will contribute to a new paradigm in the development of power electronics that incorporate disassembly, reuse, and remanufacturing
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neuroanatomy, neuroscience or a related field, and enjoy analysing neuroimaging data, scripting and data analysis? And are you passionate about medical imaging and its potential to improve our understanding
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Science. More about the position Modern diffusion models underpin state-of-the-art generative AI for images and continuous data, yet principled diffusion-based methods for discrete sequences (e.g., DNA, RNA
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lining of blood vessels— which plays a central role in the development of vascular diseases. Blood vessels further complicate this picture through their complex geometries, featuring diameter variations
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cells. Transcription stress acts as a potent trigger of the DNA damage response (DDR), coordinating multiple essential cellular processes. This is particularly relevant in post‑mitotic lineages, where
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at the cellular level, and (iii) applying quantitative image analysis to compare structural organization across fertile and infertile donors. The project is embedded in an active collaboration with a local
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description PhD Position: Computer Simulation of Knee Arthroplasty One
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of expensive evaluations required for prediction and optimization. A classical approach is co-Kriging (Kennedy--O'Hagan), which models the high-fidelity response through an autoregressive Gaussian process (GP
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-throughput experiments in molecular biology, image and video analyses as well as pattern recognition of complex public health data Collaboration in the development of algorithms/methods and development