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Field
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candidate will: Create datasets and benchmarks that capture emotional cues, conversational norms, and cultural variation beyond English; Run user studies to understand how people perceive and collaborate with
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variation beyond English; Run user studies to understand how people perceive and collaborate with conversational AI, paying attention to trust, cultural sensitivity, and affective interaction; Design methods
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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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norms, and cultural variation beyond English; Run user studies to understand how people perceive and collaborate with conversational AI, paying attention to trust, cultural sensitivity, and affective
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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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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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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
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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