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analysis, and high-performance simulations? We offer a challenging PhD position in the Mathematics of Computational Science group to design and analyse novel structure-preserving methods for stochastic
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Biomedical Signals and Systems (BSS) group of the department of Electrical Engineering at the Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS). As a PhD candidate, you will be
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-analysis pipelines (statistics, mathematical modeling, and ML) for terabyte-scale 3D histology images, from preprocessing to analysis and validation. Handle and visualize large 3D microscopy datasets. Image
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efficient for medicine? If the answer is yes, please continue reading! Join our team! We are looking for a PhD student to work on the topic of shape analysis for medical imaging, tailored for deep learning
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analysis; proven experience with mathematical/computational modeling of experimental observations; experience with colloidal synthesis; proven experience with optical and fluorescence microscopy techniques
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quantitative skills and strong analytical capabilities; proven experience with experimental image and data analysis; proven experience with mathematical/computational modeling of experimental observations
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the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you passionate about spatial analysis and
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Your job Are you passionate about spatial analysis and statistics of environmental properties, and are you not afraid of a challenge? Then this vacancy is just right for you! Your research will
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data, and primarily focus on developing medical image analysis and AI methodologies. The project is a collaboration with Radboud UMC, ProBCI (Dutch Bladder Cancer Infrastructure), and IKNL (Netherlands
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Sciences, Information & Computing Sciences, Physics, Chemistry and Mathematics. Together, we external link work on excellent research and inspiring education. We do so, driven by curiosity and supported by