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Want to be part of a Europe-wide international group of 15 PhD students working on the circularity of footwear? Are you the one PhD candidate that will take circularity/sustainability assessment
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light on the human brain’s unique vulnerability to vascular disorders. What you do Develop scalable, robust, and reproducible data-analysis pipelines (statistics, mathematical modeling, and ML
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, employees, IT infrastructure, specialized training). Second, they may require the use of quantitative models, data analysis, and algorithms, but these applications must also safeguard the data privacy and non
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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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created during synthesis, have previously been developed by the SE department for various targets, including some PFAS. The selected PhD student will advance this work by creating a new electrochemical MIP
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-specific binding sites created during synthesis, have previously been developed by the SE department for various targets, including some PFAS. The selected PhD student will advance this work by creating a
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and self-motivated PhD candidate to contribute to our understanding of advances, gaps and opportunities for impact-based forecasting for vulnerable population groups across Africa. You will work at the
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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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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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analysis; proven experience with mathematical/computational modeling of experimental observations; experience with colloidal synthesis; proven experience with optical and fluorescence microscopy techniques