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the successful candidate embarking on a PhD programme at LSHTM. It is anticipated that the role will lead to a further 18 month funded opportunity at Max Planck Institute for Demographic Research (MPIDR), in
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will plan and conduct experiments, generate high-quality data, prepare publications, make presentations and help supervise associated PhD students. The successful candidates will join large, supportive
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help supervise associated PhD students. The successful candidates will join large, supportive research teams led by Profs Knight, Screen and Connelly all working collaboratively at Queen Mary. This is an
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biomedical data scientist / computational biologist to join our highly collaborative team at QMUL. PhD (or close to completion) or research qualification/experience equivalent to PhD level in the relevant
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Tissue Act. The successful candidate will have a good understanding of pharmacology, experience of human tissue bath pharmacology, and possess a PhD and a track record of publications in peer reviewed
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About the Role We are seeking to recruit an outstanding lab-based molecular biologist with or about to receive a PhD, who has experience in development and application of next-generation sequencing
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dynamics simulations to recover dynamic strain and flow fields. Candidates should hold a PhD in a relevant biology or engineering discipline and be competent with numerical simulations. We are looking for a
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-luminosity LHC. You will provide support to our PhD students and contribute to the broader activities of the group and the school. About You You will have completed or be about to complete a PhD or research
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to their own research interests. About You Candidates should have a PhD in a relevant discipline or will have obtained it by commencement of the position. Candidates should have some experience in multi
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discipline such as Emergency and Critical Care, Cardiology or Anaesthesia and Analgesia. A background in research in cardiopulmonary medicine or surgery and a PhD, although desirable, are not essential. We