11 coding-"https:"-"https:"-"https:"-"Data-driven-Materials-Modeling" Fellowship positions at UCL
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processes for gas capture, with experience or knowledge of material informatics and the analysis of large materials datasets. Demonstrable experience or knowledge of computational modelling and data
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community of over 500 staff and more than 300 PhD students engaged in cutting edge research and collaboration. Further information can be found on our website https://www.ucl.ac.uk/biosciences We are seeking
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stable relapsing-remitting multiple sclerosis (RRMS). You will play a key role in patient recruitment, clinical assessments, and data collection, working closely with colleagues at UCLH and the MRC
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rare opportunity to work across the complete development chain of a medical device: from designing the sensors, through the readout electronics and data analysis, to integrating the system with
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improve epidemic preparedness in Sub-Saharan Africa by strengthening epidemiology and data science capacity. CCM supports training in infectious diseases and bioinformatics. Together, these programmes
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envelope architectures and their disruption by antibiotics, e.g., https://doi.org/10.1073/pnas.2112237118 and https://doi.org/10.1038/s41564-025-02133-1 . Embedded in a larger, Wellcome-Trust funded research
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community of over 500 staff and more than 300 PhD students engaged in cutting edge research and collaboration. Further information can be found on our website https://www.ucl.ac.uk/biosciences This is an
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EU grant funded project and will be involved in the development AI supported diagnostic tools and assessing off-the-shelf AI-assisted technology for ophthalmic analysis and data capture, in close
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sensitive optical detection. The group brings together materials chemistry, spin physics and biological experimentation. Current projects explore organic sensing materials and fluorescent nanodiamonds
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contribute to a research agenda in the following two potential directions: • Led by Dr. Kenan Arifoglu, Dr. Aras Selvi: research on end-to-end synthetic data generation and decision making under