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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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, including conventional medical imaging). Examples include Bayesian optimization for molecular or materials design; machine learning for single cell data; physics-based ML for turbine design and
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, including conventional medical imaging). Examples include Bayesian optimization for molecular or materials design; machine learning for single cell data; physics-based ML for turbine design and
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Immunoprecipitation (ChIP-Seq), gene knockdown, immunoprecipitation, CRISPR-Cas9, drug screens, Fluorescence In Situ Hybridization and confocal and live-cell imaging. More about the position We are looking for a highly
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, CRISPR-Cas9, drug screens, Fluorescence In Situ Hybridization and confocal and live-cell imaging. More about the position We are looking for a highly competent candidate with strong experimental background
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/Artificial Intelligence methods for automatic interpretation/classification of the RIMFAX radar images. Retrieval of geophysical parameters, such as dielectric properties, from RIMFAX data. Dissemination
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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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journals. Prototype electrochemical devices based on research results. Undertake additional research responsibilities within the field of expertise. Actively apply for external grants and fellowships with
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, including machine learning, computer vision, adaptive data modelling, and computational imaging. The objective is to develop state-of-the-art machine learning algorithms for solving ill-posed inverse problems
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, including machine learning, computer vision, adaptive data modelling, and computational imaging. The objective is to develop state-of-the-art machine learning algorithms for solving ill-posed inverse problems