PhD studentship: Identifying morphological progression risk factors in oesophageal cancer by combining genome sequencing with histopathology using deep neural networks

Job title:

PhD studentship: Figuring out morphological development danger components in oesophageal most cancers by combining genome sequencing with histopathology utilizing deep neural networks

Firm

College of Cambridge

Job description

This can be a distinctive alternative for PhD examine within the world-leading Most cancers Analysis UK Cambridge Institute (CRUK CI), to start out a analysis profession in an atmosphere dedicated to coaching excellent most cancers analysis scientists of the long run. The Institute has glorious state-of-the-art amenities and analysis ranges from fundamental biology and computational biology by way of to translational most cancers analysis and medical utility.

Postgraduate college students play a pivotal function within the persevering with success of our analysis programmes. In case you are excited about contributing to our success, please discover additional info at:

Professor Florian Markowetz needs to recruit a pupil to work on the challenge entitled: Figuring out morphological development danger components in oesophageal most cancers by combining shallow complete genome sequencing and histopathology utilizing deep neural networks.

For additional details about the analysis group, together with their most up-to-date publications, please go to their web site:

Undertaking particulars

Early detection of danger components for oesophageal most cancers can dramatically improve the survival fee for sufferers. Docs typically depend on quite a few information sources to conclude a prognosis, together with medical historical past and pathology outcomes. There may be proof that genomic information alone can predict the development of most cancers years earlier than seen signs current themselves, nonetheless present computational danger prediction strategies typically solely utilise one modality, e.g. histopathology photos, or affected person information. This challenge will intention to combine these multi-modal options for danger prediction of oesophageal most cancers by understanding the connection between genomic information from biopsies, and anonymised affected person medical historical past.

Most well-liked abilities/information

Coding expertise and information is important, ideally in Python. Expertise with related picture processing libraries, or PyTorch and different deep studying libraries is most well-liked.

References/Additional studying (non-compulsory)

Killcoyne, S., Gregson, E., Wedge, D.C. et al. ‘Genomic copy quantity predicts esophageal most cancers years earlier than transformation.’ Nat Med 26, 1726-1732 (2020). doi:10.1038/s41591-020-1033-y Mandair, Divneet, Jorge S. Reis-Filho, and Alan Ashworth. ‘Organic Insights and Novel Biomarker Discovery by way of Deep Studying Approaches in Breast Most cancers Histopathology’. Npj Breast Most cancers 9, 21 (2023), .

Funding

This four-year studentship is funded by Most cancers Analysis UK and contains full funding for College and School charges and, as well as, a stipend at present of £21,000 every year for 4 years.

Eligibility

No nationality restrictions apply to Most cancers Analysis UK studentships

Functions are invited from current graduates or last 12 months undergraduates who maintain or count on to realize a primary/higher second-class diploma (or equal) in a related topic from any recognised college worldwide. Candidates with related analysis expertise gained by way of Masters examine, or whereas working in a laboratory, are strongly inspired to use.

Tips on how to apply

Please apply utilizing the College Applicant Portal. For additional details about the course and to entry the applicant portal, go to:
Please choose to begin examine in Michaelmas Time period 2024 (October 2024).

To finish your on-line utility, you’ll need to supply the next:

Reference Request

The names and make contact with particulars of two educational referees who’ve agreed to behave in your behalf.

Course Particular Query

Your assertion of curiosity (restrict of two,500 characters) ought to clarify why you want to be thought of for the studentship and which qualities and expertise you’ll carry to the function.

Supporting Doc

Please add your CV (PDF file).

Deadline

The deadline for functions is 31 March 2024 with interviews anticipated to happen mid to late Might.

Please quote reference SW40760 in your utility and in any correspondence about this emptiness.

The College actively helps equality, variety and inclusion and encourages functions from all sections of society.

The College has a duty to make sure that all workers are eligible to dwell and work within the UK.

Anticipated wage

£21000 per 12 months

Location

Cambridge

Job date

Wed, 06 Mar 2024 00:09:12 GMT

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