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biology of the opportunistic pathogen Aspergillus fumigatus. This post is part of a collaborative multinational Wellcome Trust award involving academic and medical collaborative partners in the UK and South
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We are looking for two highly motivated post-doctoral scientists with good knowledge of methodologies for measuring biodiversity change for biodiversity credits and strong track records
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metrology, with expertise in quantum state discrimination and parameter estimation and/or in-process metrology and conventional optical microscopy, as well as image processing and model development
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themes are not covered, including conventional medical imaging). Examples include Bayesian optimization for molecular or materials design; machine learning for single cell data; physics-based ML
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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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motivated scientist with: A PhD or MD Knowledge of Biochemistry/Molecular Biology Experience with stem cell models (required) Experience in brain analysis (desirable) About us and what we offer Located within
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, and OpenSAFELY, and to develop and apply the new generation of analytical methods to study environmental health risks and climate change. The post will provide opportunities for interactions with
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for cardiovascular disease in this patient group using linked electronic health record data. The post offers an excellent opportunity to develop expertise in risk prediction methodology for electronic health records
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, and OpenSAFELY, and to develop and apply the new generation of analytical methods to study environmental health risks and climate change. The post will provide opportunities for interactions with
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for cardiovascular disease in this patient group using linked electronic health record data. The post offers an excellent opportunity to develop expertise in risk prediction methodology for electronic health records