Job’s reference: BMH-029641
salary: 37,694 pounds sterling – 46,049 pounds annually depending on the relevant experience
Members of the faculty/organizational unit: Biology, medicine health
location: Oxford Road
Employment type: A fixed term
Section/Team: Department of Information, Photography and Data Science
Hours per week: Full -time (1 FTE)
Date of closure (DD/MM/YYYY): 01/10/2025
Duration of the contract: 36 months
School/Directorate: College of Health Sciences

Applications are invited to publish the biomedical data world specialized in spatial vital information. This position is located in the new research excellence center in the MRC CORE in immunology of exhibitions, hosted by Manchester and Oxford universities jointly. The nucleus will benefit from advanced mathematical methods, new experimental models, and experimental medicine studies to detect how pollutants and infections interact with our genes to cause and exacerbate chronic inflammatory diseases.

The pregnant woman will be responsible for applying the calculations for analyzing data from high -resolution spatial technologies, including spatial data, protein data integrated with clinical data and high -resolution omics data groups. They will apply advanced machine learning methods for spatial mothers and integrate multimedia data. The pregnant woman will also cooperate in developing new mathematical methods to support CORE’s scientific goals, which have been published in addition to the well -documented open source tools to adopt wider. The successful applicant will have a doctorate degree with a large account and/or statistical component and will have experience in machine learning. A strong interest in biomedia and informational information is essential. The candidate must also have a good scientific record in the granted publishing, to be self -motivated, and work hard and able to work in a team.

What you will get in return:

• The great retirement scheme in the market
• Excellent health and luxury services, including employee assistance program
• Annual maturity of the exceptional start, in addition to bank holidays
• An additional paid closure during the Christmas period
• Local and national discounts in a group of main retailers

As equal opportunities, we welcome applicants from all sections of society regardless of age, sex, sex (or sexual identity), race, disability, sexual orientation and transgender status. All dates are made on merit.

Our university is positive on flexible work – you can learn more here

The hybrid work arrangements can be considered.

Please note that we are unable to respond to inquiries, accept CVS or requests from employment agencies.

Any employment inquiries from employment agencies must be directed to People.RECRUITMMENT@manchester.ac.uk.

Any biography submitted by a gift agency will be considered.

Inquiries about vacancies, brief list and interviews:

Name: Magnus Rattray

Email: magnus.rttray@manchester.ac.uk

General inquiries:

Email: People.RECRUITMMENT@manchester.ac.uk

technical support:

https://jobseekersupport.jobtrain.co.uk/support/home

These vacancies for applications will be closed in the middle of the night on the closing date.

Job’s reference: BMH-029641
salary: 37,694 pounds sterling – 46,049 pounds annually depending on the relevant experience
Members of the faculty/organizational unit: Biology, medicine health
location: Oxford Road
Employment type: A fixed term
Section/Team: Department of Information, Photography and Data Science
Hours per week: Full -time (1 FTE)
Date of closure (DD/MM/YYYY): 01/10/2025
Duration of the contract: 36 months
School/Directorate: College of Health Sciences

Applications are invited to publish the biomedical data world specialized in spatial vital information. This position is located in the new research excellence center in the MRC CORE in immunology of exhibitions, hosted by Manchester and Oxford universities jointly. The nucleus will benefit from advanced mathematical methods, new experimental models, and experimental medicine studies to detect how pollutants and infections interact with our genes to cause and exacerbate chronic inflammatory diseases.

The pregnant woman will be responsible for applying the calculations for analyzing data from high -resolution spatial technologies, including spatial data, protein data integrated with clinical data and high -resolution omics data groups. They will apply advanced machine learning methods for spatial mothers and integrate multimedia data. The pregnant woman will also cooperate in developing new mathematical methods to support CORE’s scientific goals, which have been published in addition to the well -documented open source tools to adopt wider. The successful applicant will have a doctorate degree with a large account and/or statistical component and will have experience in machine learning. A strong interest in biomedia and informational information is essential. The candidate must also have a good scientific record in the granted publishing, to be self -motivated, and work hard and able to work in a team.

What you will get in return:

• The great retirement scheme in the market
• Excellent health and luxury services, including employee assistance program
• Annual maturity of the exceptional start, in addition to bank holidays
• An additional paid closure during the Christmas period
• Local and national discounts in a group of main retailers

As equal opportunities, we welcome applicants from all sections of society regardless of age, sex, sex (or sexual identity), race, disability, sexual orientation and transgender status. All dates are made on merit.

Our university is positive on flexible work – you can learn more here

The hybrid work arrangements can be considered.

Please note that we are unable to respond to inquiries, accept CVS or requests from employment agencies.

Any employment inquiries from employment agencies must be directed to People.RECRUITMMENT@manchester.ac.uk.

Any biography submitted by a gift agency will be considered.

Inquiries about vacancies, brief list and interviews:

Name: Magnus Rattray

Email: magnus.rttray@manchester.ac.uk

General inquiries:

Email: People.RECRUITMMENT@manchester.ac.uk

technical support:

https://jobseekersupport.jobtrain.co.uk/support/home

These vacancies for applications will be closed in the middle of the night on the closing date.