Imaging assistant Work, Jobs in Swinton, Gtm (with Salaries)

Research Assistant in AI-based Medical Image Analysis for the Early Detection of Cancer
The University of Manchester —Manchester
- £33,002 - £36,636 a year
- Hybrid work
- Doctoral degree
- University
- Machine learning
- Annual leave
- Employee assistance programme
13d
Optical Assistant
The Spectacle Factory —Preston
- From £21,000 a year
- Full-time
- Microsoft Word
- Customer service
- Administrative experience
- Annual leave
- Employee discount
Quick apply
12d
Healthcare Support Worker (Nuclear Medicine)
The Christie NHS Foundation Trust —Manchester
- £24,465 a year
- Full-time
- Communication skills
5d
Veterinary Nurse – Full Time – Rotational
Vets Now —Manchester
- Up to £34,500 a year
- Weekend availability
- Annual leave
12d
Perioperative Practitioner
Spire Healthcare —Macclesfield
- Full-time
- Organisational skills
- Care plans
- Communication skills
- Free parking
- Annual leave

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Apprentice Optical Recall Assistant
Eyehut —Bolton
Answer incoming telephone calls professionally and assist with general enquiries. Friendly, confident, and professional telephone manner.
From £8 an hour
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Optical Assistant
Eyecare Oncall —Manchester
Full driving license (enjoy a fully expensed company car for business and personal use). Full UK manual driving license (required). No weekend or evening work.
£33,000 a year
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Research Assistant in AI-based Medical Image Analysis for the Early Detection of Cancer

The University of Manchester -
Manchester

Apply Now

Job details

£33,002 - £36,636 a year
13 days ago

Benefits

Annual leave
Company pension
Employee assistance programme
Employee discount

Qualifications

Doctoral degree
Machine learning
AI
Python

Full job description

This is an outstanding opportunity for a postgraduate wishing to work in AI-based medical image analysis, with a background in machine learning, to work within the Breast Imaging Research group under the supervision of Prof Susan Astley Theodossiadis. The post holder will be in the Division of Informatics, Imaging and Data Science, and based in the Stopford Building on Oxford Road.

The candidate will support the aims of the NIHR Biomedical Research Centre. This innovative project will study AI methods for the early detection of breast cancer from mammograms.

This position offers an ideal opportunity for an enthusiastic, well-motivated individual to work as part of a sociable multi-disciplinary team consisting of a research fellow, research associate and PhD student supported by colleagues with expertise in AI and epidemiology. The ideal candidate will have excellent computational skills and will be able to work with minimal supervision. Experience of artificial intelligence and coding in Python is essential for the position.

What will you get in return:

Fantastic market leading Pension scheme
Excellent employee health and wellbeing services including an Employee Assistance Programme
Exceptional starting annual leave entitlement, plus bank holidays
Additional paid closure over the Christmas period
Local and national discounts at a range of major retailers

As an equal opportunities employer we welcome applicants from all sections of the community regardless of age, sex, gender (or gender identity), ethnicity, disability, sexual orientation and transgender status. All appointments are made on merit.

Our University is positive about flexible working you can find out more here

Hybrid working arrangements may be considered. Please note that we are unable to respond to enquiries, accept CVs or applications from Recruitment Agencies.

Any recruitment enquiries from recruitment agencies should be directed to [email protected].

Any CV’s submitted by a recruitment agency will be considered a gift.

Please note this role is not eligible for sponsorship under the Skilled Worker route of the Points Based System. Candidates will need to be able to demonstrate their right to work in the UK in order to be eligible to take up the post.

Please note that the interviews for these posts will be held in the last week of July/first week in August

Enquiries about the vacancy, shortlisting and interviews:

Name: Prof Susan Astley Theodossiadis

Email: [email protected]

General enquiries:

Email: [email protected]

Technical support:

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

This vacancy will close for applications at midnight on the closing date.

Please see the link below for the Further Particulars document which contains the person specification criteria.

Apply Now

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imaging assistant jobs in swinton, gtm

Research Assistant in AI-based Medical Image Analysis for the Early Detection of Cancer

Optical Assistant

Healthcare Support Worker (Nuclear Medicine)

Veterinary Nurse – Full Time – Rotational

Perioperative Practitioner

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