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Field
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include technique development work aimed at combining imaging techniques and data analysis to provide a more integrated picture of life processes in the context of health and disease. To be a postdoc fellow
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and to users Validating predictive models in close collaboration with clinical partners, and interfacing image-based models with other modalities Writing and presenting scientific work at top
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techniques and data analysis to provide a more integrated picture of life processes in the context of health and disease. To be a postdoc fellow at the AMBER programme you will get unprecedented medical
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(imaging mass cytometry); maintenance of tissue archives and databases. Key attributes of the successful applicant include: PhD in a relevant subject Substantial experience of histological techniques
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other sciences field by the time of hire and experience in a laboratory environment. Background in fluid mechanics and laboratory experiments is preferred. Data and image processing skills are also
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clinical challenges within hospital settings. A deep understanding and hands-on experience in user-centred design, electronic circuitry, programming, and system controls within medical contexts are highly
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measure success. Basic Qualifications: A PhD in Materials Science and Engineering or a related field completed within the last 5 years Preferred Qualifications: Strong background in computational and image
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processing) Collaborate with a diverse team of researchers, including the PI, graduate students, and other postdoctoral fellows. Attend weekly lab meeting Qualifications Required Qualifications: PhD in
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Centre in the Denmark Hill Campus. The applicant should have a PhD in Biomedical Engineering, Medical Physics, Medical Imaging, or a related area (or pending results). They should have good analytical and
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will have a PhD in a relevant area (or be close to completion) and a good understanding of neurotransmission and behaviour. We welcome applicants with experience in some of the following areas and with a