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. The main focus of Centre for Advanced Cardiovascular Imaging is to apply statistical, multi-omics and machine learning approaches to national-scale imaging studies. About Queen Mary At Queen Mary University
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includes overseeing all data management processes and data linkage tasks and activities for a portfolio of projects, preparing statistical analysis plans and preparing and analysing data. The post-holder
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, Nulsen Genome Medicine 2021); prediction of the causal interplay between cancer genes and the immune microenvironment using statistical models (Misetic Genome Medicine 2023); development of a software for
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all data management processes and data linkage tasks and activities for a portfolio of projects, preparing statistical analysis plans and preparing and analysing data. The post-holder will work within
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to problem solve and work independently Desirable criteria Familiarity with the JASMIN data analysis facility Expertise in the hazard of extreme heat Competence in statistical analysis and/or machine learning
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group of Dr. Mario dos Reis, as part of a BBSRC project on development of Bayesian methods to analyse large genomic datasets. We seek a highly motivated individual with relevant background in statistics
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Post-Doctoral Research Associate/ Post-Doctoral Research Fellow in the Department of Health Services
health services research, epidemiology, statistics, psychology or public health. 2. Good interpersonal skills 3. Attention to detail 4. Proficiency in IT (Word, Excel, database use) 5
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health services research, epidemiology, statistics, psychology or public health. 2. Good interpersonal skills 3. Attention to detail 4. Proficiency in IT (Word, Excel, database use) 5
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thermodynamics, statistical physics, computational physics, and particle levitation, but the critical requirements are a proven ability to learn fast, to think creatively and to work in a team. Within King’s, you
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a high level of proficiency with computer software related to laboratory research, data presentation and statistical evaluation, as well as the ability to organise a varied workload between research