-
data analysis, and write scientific reports. In addition, there is scope for supporting PhD students, and collaborating with other experimental and computational neuroscientists within and outside
-
, and recommend personalised treatment for musculoskeletal conditions. Key skills will include deep learning, convolutional neural networks and transformers, multimodal AI and fusion modeling. Imaging
-
should have, or be close to completing, a PhD (or equivalent qualification) in Astronomy/Astrophysics or a closely-related discipline, and have a history of publications and oral/poster presentations
-
About the Role This experienced post-doctoral position is to quantify, characterise and define extracellular vesicles obtained from preclinical and clinical samples in the context of chronic
-
enumerative invariants using the moduli space of disks (with some orbifold structure). By carefully constructing this moduli space, one can then define open enumerative invariants as integrals of multi-sections
-
for educational and psychological research, policy and practice. About You A successful applicant should have, or expect to soon receive, a PhD in psychology, economics, epidemiology, or statistics. The post-holder
-
About the Role We are looking for a motivated and hard-working person to develop a very exciting project in the contest of the Barts Metabolism Network (QMUL) and the growing metabolism hub
-
About the Role This 3 year full-time PDRA position, using advanced transmission electron microscopy (TEM), is part of an exciting major EPSRC-funded Programme Grant, "Enabling Net Zero and the AI
-
experimentally validate sensors and AI software for medical imaging, 2) Integrate pioneering and proven tools for the early cancer detection, and 3) Examine clinical workflows and validate the established systems
-
postgraduate programmes. The role is mainly student facing and is ideally suited for people who have recently completed a PhD and who are interested in developing their educational skills within a supportive