44 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" research jobs at King's College London in United Kingdom
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in these brains at various stages of development. The data will then need to be used to model mathematically the evolution of the gene regulatory network controlling forebrain patterning. The role
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telephone or video call) following enrolment, maintaining accurate study records and databases, and liaising with site teams to coordinate data collection and follow-up activities. The post holder(s) will
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. The post is based at the Ule Regulatory RNA Networks lab at UKDRI Centre at King’s. The lab consists of 8 researchers including PhD students and postdoctoral fellows. For more information, please see the
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Assistant will contribute to data acquisition, quantitative analysis, and optimisation of experimental workflows, ensuring high standards of reproducibility and scientific rigour. The role offers
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methodologies to test hypotheses and identify suitable alternatives if technical problems arise as well as select, follow, and present scientific data from a variety of sources. You will contribute to discussions
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, including but not limited to screening and enrolling new participants, scheduling and conducting trial visits, collecting research data in line with study protocols, entry of research data into an online
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an exciting opportunity for a Postdoctoral Research Associate to join their dynamic, interdisciplinary team to shape how multimodal bioimaging data is stored, shared and reused. The Parsons Group is based in
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Teaching Technicians, Teaching Fellows and AEP equivalent up to and including grade 7. Visit the Centre for Research Staff Development for more information.
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-design workshops, interviews, requirements gathering, data curation/annotation activities, and contribute to the design and evaluation of human–computer interface prototypes through design sprints and
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health. The post holder will develop innovative AI techniques approaches applied to oral healthcare, with a particular focus on Large Language Model-based multimodal data understanding and reasoning