29 post-doc-image-engineering-computer-vision Postdoctoral research jobs at University of London
Sort by
Refine Your Search
-
to work on a project investigating mechanosensing in flies (Diptera). This post will focus on using detailed wing geometry models and free flight kinematic measurements in computational fluid and structural
-
: 23.59 hours BST on Tuesday 26 August 2025 Interview Date: Wednesday 03 September 2025 Reference: PPS-0210-25 We are seeking a highly motivated Post-Doctoral Research Assistant aiding the development
-
project investigating mechanosensing in Diptera. This post will focus on using detailed wing geometry models and kinematic measurements in computational fluid and structural dynamics simulations to recover
-
treatments. To achieve this, we will develop personalised cardiac models at scale, and update these models over time, using imaging and electrical data collected by collaborators at multiple centres. We
-
and statistical modelling, statistical image analysis and computer vision, chemometrics, biophysics, bioengineering. Preference will be given to candidates with a demonstrated experience in applying
-
techniques (including PCR) and cell imaging. Previous experience of organ-on-a-chip approaches or in vitro models and experience of working in musculoskeletal tissues is desirable but not essential. The post
-
for Translational Bioinformatics is a team of computational biologists, software engineers and data scientists located within the Digital Environment Research Institute (https://www.qmul.ac.uk/deri/) at Queen Mary
-
these into industry by producing and validating a suite of exemplar organ-chip models of musculoskeletal tissues. About the School/Department/Institute/Project This post is within the School of Engineering and
-
qualification/experience equivalent to PhD level in a relevant subject area (physics, engineering, computing science, etc.). You will need as essential skills a good knowledge of C++ and python, familiarity with
-
for an outstanding, post-doctoral researcher with proven expertise and practical experience in relevant techniques including cell culture, organ-chip models, tissue engineering, and musculoskeletal biology. The PDRA