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. Applicants should not feel obliged to focus on a traditionally identified paradigm. The ideal candidate for this Research Fellowship will have a strong background in a relevant area of work and be completing
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strongly encouraged. Applicants should not feel obliged to focus on a traditionally identified paradigm. The ideal candidate for this Research Fellowship will have a strong background in a relevant area of
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characterisations and advanced characterisations such as X-ray, electron, and neutron scattering and imaging experiments. You will undertake independent and collaborative research and will be expected to write up
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, government, third sector or the public. Highlight a case in which you translated complex AI concepts for a non-specialist audience and indicate the outcome (policy change, prototype, engagement metrics, etc
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particle image velocimetry, hotwire anemometry and pressure measurements. The work will also involve close collaboration with consortium partners. The candidate will be required to work closely with other
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, physical function, mental and social wellbeing after initiating burosumab. Access local clinical data to determine the predictors for clinical events, laboratory and imaging findings after initiating
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publication and contribution to conferences in the field of cognitive neuroscience, physical activity, data science, engineering, brain imaging or related fields. Expertise in analysing MRI and fMRI Brain
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medical imaging). Examples include Bayesian optimization for molecular or materials design; machine learning for single cell data; physics-based ML for turbine design and astrostatistics. These posts
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macroinvertebrate sample processing in the laboratory including picking of invertebrates from the samples and subsequent identification, processing of sedimentological samples, to input processed data
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are included but clinical medical themes are not covered, including conventional medical imaging). Examples include Bayesian optimization for molecular or materials design; machine learning for single cell data