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candidate you will: Collaborate closely with the experimental team that acquires these multiscale data Analyse rat MRI data, including integration with histology and calcium imaging Combine data across
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Primary supervisor - Dr Rose Davidson Dupuytren’s disease bends the fingers irreversibly into the palm, threatening employment, selfcare and independence. Despite its prevalence, Surgery temporarily
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sustainable, there is an urgent need for innovative solutions to reduce carbon emissions during synthesis, enhance the durability of materials and improve recycling processes. Be part of this change and explore
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-disciplinary PhD project aims to provide a clear picture of the landscape of battery manufacturing, waste and end-of-life processing. The project aims are to: Identify waste streams and energy requirements
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to 80% of host cell hemoglobin during its intraerythrocytic development. This process depends on endocytosis at cytostomes – specialized invaginations of the parasite surface – followed by trafficking
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electrolytes, primarily solid-state, for applications in Li-based batteries. Polymer synthesis, electrolyte fabrication, construction and testing of prototype battery cells are all parts of the project
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of an image analysis algorithm for particle tracking and speed quantification. Requirements for candidates: Essential: BSc and MSc in biochemistry, biology, biophysics, biotechnology, biomedical engineering
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, molecular biology, or related disciplines FELASA certification Experience with or highly interested in experimental immunology (e.g. in vivo models, flow cytometry, imaging) Motivation to learn and apply
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positively valued: programming languages (Python, JavaScript), data analysis software techniques and tools, machine/deep learning (Pandas, SHAP , TensorFlow, etc.) and specific to image analysis, statistics
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“Female Heart”. The researcher position has a temporary financing for two (2) years from 01.11.25. About the project/work tasks: Advanced image analysis of ultrasound images Statistical analysis