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Field
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to characterize the epignetic landscapre of MPN and sAML, uncover the molecular mechanisms underlying disease progression and treatment resistance and identify novel therapeutic targets. You will take a lead on
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continued success. Job description: The role We are seeking an ambitious post-doctoral researcher who will work with Dr Kavanagh in his Action Medical Research/LifeArc funded lab to develop new formulations
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developing a novel platform to uncover the hidden dynamics of proteins in health and disease. Your Role As a postdoc on this project, you will be part of a dynamic team working at the intersection of protein
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tailored training and mentoring, and work closely with national and international collaborators, making this an ideal position for a postdoctoral researcher looking to build a strong foundation in
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Imaging (cDTI MRI) can measure the microstructure of the heart. Emerging data are showing the great potential of cDTI in risk stratifying patients with heart disease and specifically in patients with aortic
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together to answer some of the most important questions about the causes, prevention and treatment of disease. We are seeking to appoint a Postdoctoral Researcher in Biomedical Image Analysis to join the
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their relationship with treatment responses and disease activity. This is an excellent opportunity to contribute to a collaborative research program dedicated to improving our understanding of ALS and informing future
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-related work Self-motivated, ability to work independently Desirable criteria Experience in animal models of cardiovascular disease Experience in tissue and organ handling and processing, including
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opportunities at departmental and University level. The work will be exclusively in-silico analysis of human rhythmic behaviour, including sleep and chronotype, and cardiometabolic disease. We will use publicly
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for Cancer Research which aims to characterize the epignetic landscapre of MPN and sAML, uncover the molecular mechanisms underlying disease progression and treatment resistance and identify novel therapeutic