31 big-data-and-machine-learning-phd Postdoctoral positions at University of London in london
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will deliver projects that leverage large-scale electronic health record data and rich cytometry data derived from full blood count analysers to develop and refine machine learning models to improved
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dynamic mix of molecular biologists, bioinformaticians and clinical fellows providing a unique environment for development and learning in cancer genomics and translational research. We work with large
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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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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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also have or be close to completing a PhD in any of the following areas as well as the will and commitment to learn relevant topics from the other areas: Statistical and machine learning, mathematical
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of a team, are also requirements of the role. About the School This post is within the School of Engineering and Materials Science (SEMS), a large School with 108 academics, over 250 PhD Students and
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work. The candidate is expected to support current PhD students in the group, write and publish research papers. About You Candidates should have a PhD in mechanical engineering, orthopedic engineering
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incubator cleaning etc. About You We are seeking a junior postdoctoral candidate, ideally holding a PhD in Immunology or Inflammation biology. Experience of in vivo work, flow cytometry and imaging will be
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Right to work: Applications from job seekers who require sponsorship to work in the UK are welcome and will be considered alongside all other applications. For further information visit the UK Visas
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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