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Job details
Job details
Job reference
18/106313
Date posted
12/03/2018
Application closing date
17/04/2018
Salary
£32,548 - £35,550 per annum
Job category/type
Research
Attachments
Blank
Research Fellow
Job description
This post will be based in the integrated environment of the Northern Ireland Molecular Pathology Laboratory (NIMPL) and will undertake the morphomolecular analysis of clinical tissue samples as part of the successful CR-UK Accelerator Network Award in Digital Molecular Pathology led by Queen's University. This is an exciting opportunity to work within
a
team of national experts and to validate and deliver new tissue hybridization-type techniques and analyses of well annotated clinical material. This will be complemented by digital pathology and machine vision approaches to interrogate patient samples, to identify new prognostic and predictive markers in the setting of immuno-oncology. The successful candidate will contribute to an innovative project that will generate novel tools and data suitable for publication in high impact journals and will also have the potential to underpin new wet-lab tests and diagnostic algorithms for cancer therapeutic decision-making.
Candidate Information
About the Centre
Further details for international applicants
Job title
Research Fellow
Job reference
18/106313
Date posted
12/03/2018
Application closing date
17/04/2018
Salary
£32,548 - £35,550 per annum
Job category/type
Research
Attachments
Blank
Job description
This post will be based in the integrated environment of the Northern Ireland Molecular Pathology Laboratory (NIMPL) and will undertake the morphomolecular analysis of clinical tissue samples as part of the successful CR-UK Accelerator Network Award in Digital Molecular Pathology led by Queen's University. This is an exciting opportunity to work within
a
team of national experts and to validate and deliver new tissue hybridization-type techniques and analyses of well annotated clinical material. This will be complemented by digital pathology and machine vision approaches to interrogate patient samples, to identify new prognostic and predictive markers in the setting of immuno-oncology. The successful candidate will contribute to an innovative project that will generate novel tools and data suitable for publication in high impact journals and will also have the potential to underpin new wet-lab tests and diagnostic algorithms for cancer therapeutic decision-making.
Candidate Information
About the Centre
Further details for international applicants