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in September 2026. Physical learning is an emerging paradigm in which materials adapt their behavior through local physical rules, without digital computation. Despite rapid experimental progress, it
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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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of tomographic imaging techniques to capture oil/water distributions in a 3D geometry. In the second half, we will use these techniques to study the flow and stability of an emulsion through a constriction
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laboratories, local farmers, veterinarians, and policymakers. Secondly, in the context of the ERRAZE project, the postdoc will evaluate a WUR prototype One Health policy screening tool on the usability
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immunology with demonstratable experience and advanced knowledge of computational biology. You have experience with data-intensive technologies, such as the analysis of spectral flow cytometry, imaging, single
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imaging, and organoid models. The main objectives of the project are to determine the specific types of DNA damage induced by mechanical alterations, to characterise the resulting transcription‑stress
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Job description Magnetic Resonance Imaging (MRI) is
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. This role combines applied data science with real industrial sensor data. You will prototype, validate, and harden data processing pipelines and AI models in close collaboration with engineers and researchers
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sanctions throughout their lives. This project proposes a paradigm shift: rather than viewing sanctions as standalone events, we aim to examine their effects across the life course. Are you interested in
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and imaging capabilities, and on applying THz (emission) microscopy to study 2D materials and 2D heterostructures. The microscope will use femtosecond lasers to generate and detect terahertz pulses