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with the ARIA Safeguarded AI programme project “Data-Parallel Proof Checking for Monoidal Theories”, led by Professor Fabio Zanasi within the Programming Principles, Logic and Verification (PPLV
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About us The UCL Bioinformatics Group is well-known for developing a widely-used suite of web-based tools based on a number of cutting edge protein structure prediction methods. Our web services have
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apply techniques such as machine learning on large datasets to develop prediction models and AI methods to optimise instrumentation used in the diagnosis and treatment of eye disease. The appointee
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aimed at educating the public and bringing transparency to this emerging science. About the role The post holder will develop diagnostic and other biomedical sensing methods using the optical and spin
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. The post holder will have demonstrable experience with atomistic/molecular simulation methods, alongside knowledge of nanoporous materials (e.g. MOFs, zeolites or porous polymers) and adsorption
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About us In our atomic force microscopy (AFM) laboratory, headed by Prof. Bart Hoogenboom, we have pioneered AFM methods and their application, from atomic-resolution imaging in liquid, via double
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uncertainty. The work will develop new methods for generating privacy-preserving data that remain useful for the operational decisions ultimately made from them, rather than treating data generation and
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observational cohort studies, qualitative and mixed methods studies to intervention trials. We have an exciting opportunity for an enthusiastic and highly motivated Research Nurse to join our dynamic team
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have experience in quantitative research methods and an interest in social inequalities, social networks, or stereotypes. This opporunity is offered until 30th September 2027 in the first instance
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in Drosophila husbandry, maintenance, genetics, and behavioural assays. You will also have experience of molecular biology techniques and confocal and/or live imaging methods. Knowledge of