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About us: The post will be based in the Centre for Mental Health Policy and Evaluation (CMHPE) at King’s College London. The Centre is home to a team of expert implementation and improvement science
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and deliver research to tight deadlines. The role will involve collaboration with experienced researchers across medical statistics, epidemiology, informatics, social science and integration
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analysis of data, leading to peer reviewed papers and/or presentation of findings at conferences Evidence of excellent scientific analysis skills Strong computer skills and knowledge of computer programming
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opportunity to join a multidisciplinary team of researchers, clinicians, and patient partners on a 5-year collaborative research programme funded by a Wellcome Mental Health Award, ‘When your body betrays you
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uncertainty quantification via conformal prediction. You’ll contribute to open-source projects, extending tools like MONAI for the computational pathology community, and support the data science team in
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research programme at King’s, focussed on establishing a competitive research niche and positioning them to apply for intermediate-level post-doctoral fellowships to consolidate their careers, from Research
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already commenced training in general cardiology and wish to gain more sub-specialty experience in Cardiac MRI (CMR), by taking an Out-Of-Programme Experience (OOPE) from their current training programmes
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already commenced training in general cardiology and wish to gain more sub-specialty experience in Cardiac MRI (CMR), by taking an Out-Of-Programme Experience (OOPE) from their current training programmes
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publications and/or dissertation or equivalent evidence of expertise and completed research outputs Data science skills, especially data analysis and prediction modelling Proven ability to write code in Python