13 performance-"Computer-Vision-Center" Fellowship positions at UNIVERSITY OF SOUTHAMPTON
-
from many sources. Develop approaches to model the performance of the aforementioned event-triggered systems, and to use these models to optimise SONNETS architectures. Collaborate with artificial
-
of methods for tasks such as data harmonisation, phenotype representation, genomic analysis and patient or gene prioritisation. Working within research high-performance computing (HPC) environments
-
AI and its integration with real-world systems Measurement and evaluation of agentic AI performance The implications of these technologies for government, industry and the wider public The post holder
-
cells, develop and optimise functional assays, and perform medium- to high-throughput pharmacological screening. Positive candidates will be characterised using concentration–response experiments and
-
. This activity will run in parallel with commercialisation activities by discussion with stakeholders for problem validation and obtaining performance requirement definitions. What We Can Offer You Committed
-
Perform in‑depth molecular, phenotypic and metabolic characterisation of adipose models Investigate inflammatory and metabolic dysfunction relevant to MASLD Contribute to multi‑organ integration, i.e
-
with advanced data analysis, the project provides a cell‑level view of a functioning heart. This capability will allow researchers to test therapies more accurately and could accelerate the development
-
-photon level Operation and maintenance of our suite of SNSPDs Application of the devices with our industrial and academic partners A core feature of this role is collaboration with our partners at Covesion
-
activity, and deliver high-quality materials for studies performed in laboratories throughout Europe. Working within a collaborative and multidisciplinary team, you will help guarantee that research
-
adipose tissue organoids incorporating stromal, endothelial, and immune cell populations Perform in‑depth molecular, phenotypic and metabolic characterisation of adipose models Investigate inflammatory and