30 phd-architecture-building Postdoctoral positions at University of London in United Kingdom
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architectural choices for neural networks. This project will be in collaboration with Prof. Mark Sandler from the Centre for Digital Music – a world-leading research centre in the field of AI for Music and Audio
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including cell culture, organ-chip models, tissue engineering, and musculoskeletal biology. The PDRA will plan and conduct experiments, generate high-quality data, prepare publications, make presentations and
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into clinically meaningful insights. About You We are looking for a motivated researcher with a PhD (or near completion in 2025/26) in statistical genomics, genetic epidemiology, bioinformatics, or a related field
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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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endothelial cell secretion and its importance to haemostasis and inflammation. Building on significant findings from the PI (e.g. El-Mansi et al., Blood, 2023, El-Mansi. et al., Blood Advances, 2024), using
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neurophysiological and neuro-immune profiling of the impaired skin barrier and maladaptive neuronal responses underlying pain in epidermolysis bullosa. About You The candidate will have a PhD in the field
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Pregnancy. Current risk-communication materials in maternity care are often text-heavy, numerically dense, and disconnected from the lived experiences of women and families. Building on prior epidemiological
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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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at the Blizard Institute to build and test custom made tendon-chips, using advanced bio fabrication techniques. You will join the Screen research group - a multidisciplinary team of scientists from engineering and
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for Health and Care Research (NIHR). The aim of this project is to build an instrument, leveraging statistical and machine learning techniques, to allow surgeons to examine the sentinel lymph nodes during