Location: | Birmingham |
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Salary: | £45,163 Grade 7 |
Hours: | Full Time |
Contract Type: | Fixed-Term/Contract |
Placed On: | 23rd October 2024 |
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Closes: | 4th November 2024 |
Job Ref: | 104751 |
Salary: As this vacancy has limited funding the maximum salary that can be offered is Grade 7, salary £45,163.
Contract Type: Fixed Term contract up to June 2026
Our interdisciplinary team at the Centre for Membrane Proteins and Receptors (COMPARE) brings together experts in advanced microscopy, computer vision/deep learning and cell signalling to clarify the mechanisms of cell communication in physiology and disease and inform the development of innovative therapies. As part of these efforts, we are developing highly innovative hardware and software for advanced microscopy and using them to investigate the mechanisms of receptor signalling with unprecedented detail. Using such approaches, including single-molecule methods pioneered by our team, we have clarified some of the fundamental mechanisms involved in signalling by G protein-coupled receptors (GPCRs), the largest family of cell receptors and major drug targets (see e.g. Grimes et al. Cell 2023 PMID: 37146613; Sungkaworn et al. Nature 2017 PMID: 29045395).
Role Summary
We are seeking a highly motivated scientist to join our interdisciplinary team at the University of Birmingham to develop “An AI-driven Automated Platform for High-Throughput 5D Fluorescence Imaging and Data Analysis Applied to Cell Signalling and Drug Discovery”.
The project is funded by a Wellcome Trust Bioimaging Technology Development Award (Foundation Phase). The project is led by Prof. Davide Calebiro and Dr Hector Basevi, Department of Metabolism and Systems Science, Prof. Ales Leonardis, School of Computer Science, and Dr Edalat Radfar, COMPARE Advanced Imaging Facility, and is part of our efforts to democratise access to advanced microscopy through innovative solutions for remote access and automation such as those we developed as part of Midlands Open Bioimaging.
The goal of the project is to develop a highly innovative fully automated microscopy and image analysis platform capable of generating large 5D datasets of living cells with high spatiotemporal resolution, use the data to extract quantitative information, and build generative models of cell signalling dynamics. We will apply the new platform to investigate how GPCR signals are encoded in space and time, addressing fundamental questions about GPCR signalling and unlocking novel avenues for drug development.
The position will be initially for up to 18 months. In October 2025, the project lead will apply for the Bioimaging Technology Development Scale-Up phase, which, if successful, could extend the project funding for up to an additional 6.5 years.
Main Duties
Person Specification
Informal enquiries to Professor Davide Calebiro D.Calebiro@bham.ac.uk
To download the full job description and details of this position and submit an electronic application online please click on the 'Apply' button above.
Valuing excellence, sustaining investment
We value diversity and inclusion at the University of Birmingham and welcome applications from all sections of the community and are open to discussions around all forms of flexible working.
Closes: 4th November 2024
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