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Postdoctoral Scientist - Neurobiology – Dr Albert Cardona – LMB 2440

MRC Laboratory of Molecular Biology

Location: Cambridge
Salary: £39,375 per annum pro rata
Hours: Full Time
Contract Type: Fixed-Term/Contract
Placed On: 8th July 2024
Closes: 4th August 2024
Job Ref: LMB 2440
 

Fixed term, 3 years

MRC Laboratory of Molecular Biology (LMB), Cambridge, UK

The brain integrates information across the senses and, in combination with memories of past events, choses an appropriate response. To compare the synaptic wiring diagram, or connectome, of the brain across different experimental conditions, developmental stages, and strains or species, we must first measure the natural variability, by mapping the connectome across multiple individuals and statistically quantifying the individual differences from the common subset. Modern technology offers the opportunity to automatically map connectomes across many animals, and therefore study how connectomes vary across conditions.

The ideal candidate will have a background in bioimage informatics, with demonstrable experience in computer vision and machine learning applied to bioimage datasets, with a PhD in computer science or a related field, or due to complete in 6 months. With experience in machine learning libraries such as PyTorch and their execution in GPUs, plus experience in programming languages (Python, Rust, Java,  C++, Javascript). We seek a candidate with experience in developing machine learning approaches to object boundary segmentation, in instance segmentation, and in quantitative methods for monitoring and improving the performance of software, and in using Linux or *BSD operating systems, performing system administration tasks on servers, and executing software in GPU and CPU clusters for high-performance computing.

This is a three-year training and development position suitable for you if you have recently completed your doctoral studies, or you are looking to move into a new research discipline and/or need to further develop your research skills. Working with our world class scientists you will be working in an Institute renowned for its excellent scientific facilities and high-quality research.

The LMB has an inclusive and collaborative working culture, and you will be based in our state-of-the-art building on the Cambridge Biomedical Campus. We have on-site parking, cycle enclosures and excellent public transport links to the site. You will be able to access our range of excellent benefits including a staff restaurant with roof terrace, on-site nursery, sports and social facilities. You will be eligible to join our defined benefit pension scheme with an employer contribution of 16%, holiday entitlement of 40.5 days per annum (including bank holidays and privilege days) and a generous employee discount scheme. We are also committed to providing training and development opportunities including support towards role-related qualifications.

The MRC LMB is a world-class research institute within UK Research and Innovation (UKRI). UKRI is nine research councils, working together across all disciplines and sectors. More information can be found at www.ukri.org and www.mrc-lmb.cam.ac.uk.

This role qualifies for endorsement by UKRI for a UK Global Talent Visa, for which the successful applicant is likely to be eligible to apply. Immigration costs (visa and health surcharge) can be reclaimed from UKRI after taking up the post (terms and conditions apply).

To apply and access full details of the vacancy please click on the ‘Apply’ button above

If you are unable to apply online please contact us at recruit@mrc-lmb.cam.ac.uk.

Final appointments will be subject to a pre-employment screening.

We actively support equality, diversity and inclusion. We therefore, particularly welcome women, minority ethnic and disabled candidates to apply for this vacancy as they are currently under-represented. We are a disability inclusive employer and encourage disabled people to apply for this role.

We value your feedback on the quality of our adverts. If you have a comment to make about the overall quality of this advert, or its categorisation then please send us your feedback
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