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, molecular and outcome data available (e.g., survival, cancer recurrence, response to treatment, etc.). BENEFITS: We expect this framework to learn, discover and deliver novel biomarkers that can improve the
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modelling and numerical relativity. The group comprises PI Alicia Sintes, a further ten faculty members and a large number of post-doctoral researchers and PhD students. The group is a member of the IAC3
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EndoCartoScope: Transforming any Endoscope into a Smart Device for Intraoperative 3D Localization, Navigation and Mapping. (GA: 101211633). Profile: PhD in a field related to 3D reconstruction and/or map building
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existing experimental results and guide the design of future carbon-based electronic and optoelectronic devices. Requirements: Education: Master in materials science or engineering, PhD in materials science
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for a short-term 2.5-month postdoctoral position (full-time) focused on developing and validating machine learning models that predict soil health and crop performance. The position will exploit datasets
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motivated Postdoctoral Researcher (R2) who has recently completed their PhD and is looking to further develop their research career within a structured and supportive environment. This role offers a defined
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contribute to project reporting. Work with the interdisciplinary team of the group (theory, computation, machine learning) and support junior researchers on SOT-related topics. Requirements: Education: PhD in
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for improving the safety of LIBs Reinforced polymer composites In-depth understanding of the fire behaviors of materials for LIBs The candidate will acquire hands-on experience with flame retardancy, and polymers
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areas of nanoscience and nanotechnology. Job Title: Junior Postdoc-Electrocatalysis; in situ electron microscopy characterization; deep learning frameworks for TEM image analysis Department: Advanced