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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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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
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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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mining has allowed us to obtain insights from large amounts of data for decades, and it is worth revisiting ideas and concepts from this field for the purpose of interpretable machine learning. Pattern
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Digital Twin predictions against real-world treatment outcomes from clinical registries. A Unique Dual-University Experience This position offers an exceptional opportunity to work across two leading
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revisiting ideas and concepts from this field for the purpose of interpretable machine learning. Pattern-based modelling, for example, cannot only be used for exploratory data mining but also for predictive
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revisiting ideas and concepts from this field for the purpose of interpretable machine learning. Pattern-based modelling, for example, cannot only be used for exploratory data mining but also for predictive