29 information-security "https:" "https:" "https:" "https:" "https:" "University of Cambridge" research jobs at Imperial College London in United Kingdom
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data pipelines for smartphone, wearable, molecular and clinical datasets to advance early detection and monitoring of pulmonary arterial hypertension. You will work closely with computational scientists
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a relevant field (e.g., business/management, information systems, innovation, operations, strategy, entrepreneurship, socio-technical studies). A strong profile in research areas such as: AI-Empowered
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Prof. Stefano Angioletti-Uberti s.angioletti-uberti@imperial.ac.uk For more information, please visit https://www.glycocalyx.org/ Please see the advert on https://euraxess.ec.europa.eu/ Closing date
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This is an exciting opportunity for a talented early career researcher in epidemiology and applied biostatistics to gain in-depth knowledge and experience in using advanced epidemiological and
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months in the past three years. Additional Information Work Location(s) Number of offers available1Company/InstituteImperial CollegeCountryUnited KingdomGeofield Contact City London Website http
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, Prof Alessandra Russo and other collaborators in the University of Cambridge and in Japan, within the UKRI NeSyDebates project. The work will focus on contributing to developing effective safeguards
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, product designers in the HELIX Centre, and leaders in Safety and Quality in the NIHR Patient Safety Research Collaborations. This is an excellent opportunity for individuals with an interest in research and
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the protocols used to control and communicate sensitive patient information, all the way up to interventional devices and systems for personalised healthcare. We are particularly looking for an IC
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, supervising projects, students, and postdocs, applying for grants, writing papers, and establishing an independent research group. The post holder is expected to establish and grow their independent research
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health records, cohort data, and large-scale research datasets to develop pipelines for secure data access, data cleaning, longitudinal harmonisation, and quality control, ensuring that datasets