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targeting translation inhibitor sensitive RUNX1 mutations in chronic myeloid leukaemia’. You will work independently to produce high quality experimental data in the laboratories of the Biochemistry
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comorbidities associated with RA, is essential, along with experience in translational research, data analysis, and therapeutic pathway investigation. Strong analytical, problem-solving, and communication skills
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, semi-structured interviews and empirical research in diverse settings. They will be confident managing sensitive data, maintaining rigorous and well-organised research records, and working in accordance
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will be judged on merit alone, we particularly welcome applications from groups currently underrepresented in the workforce. Further information For further information please contact Professor Dave
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that these analyses will result in standalone journal papers, some of which you will take the lead in writing. There may also be opportunities to be involved in related mathematical modelling projects, as well as data
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considered for Research Assistant. Strong programming expertise in Python and C++, with experience developing real-time robotic and AI systems. Experience in deep learning and computer vision, including
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. The role holder will prepare and conduct empirical (mixed-method) research. This will entail all steps from developing the conceptual frameworks and instruments to data collection and analysis. You will
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, numerical modelling, data analysis, and interpretation of results. Alongside this, around 30% of the role will involve contributing to publications and actively supporting the development of future research
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identification of phases in metallic systems such as aluminium alloys or steels. You will have demonstrated expertise in applying machine learning and computer vision techniques for the analysis of scientific
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further information about the post. The interview date will be announced shortly after the advert closes. Further details Job Description