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Institute and RiverD International. The successful candidate will adapt existing and develop and test new methods for detecting metastatic lymph nodes based on their molecular signatures as captured by AF and
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. Candidates should have excellent organisational and numerical skills and the ability to work both independently as well as part of a team. In addition, they should be able to demonstrate commitment to working
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demonstrable experience in analysing datasets such as infectious disease surveillance, applying statistical methods, and interpreting output. Further particulars are included in the job description. The post is
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, oral communication and numeric skills are essential. Further particulars are included in the job description. The post is full-time 35 hours per week, 1.0 FTE and fixed-term for 12 months with potential for extension
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the school as well as those across other academic and professional services areas. Candidates should have excellent organisational and numerical skills and the ability to work both independently as
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project developing Bayesian causal inference methods for mediation analysis using Electronic Health Records (EHR) data. The Research Fellow will design and implement Bayesian methods and software
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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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well as the employability programme at QMSU. The post holder will also support the wider Student Engagement Team’s work as and when required support the department with stakeholder management across QMSU and the University
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care and preventive medicine. The post-holder will work in the Centre for Evaluation and Methods (CEM), a thriving centre that incorporates collaborative units who work to deliver outstanding research
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in managing the processes post-merger of 3 academic schools. The post holder will use project management methods to track and manage all processes of integration and formation of the new academic