Research Associate

7 days ago

Glasgow, United Kingdom University of Glasgow Full time

**Job Purpose** -

**About You**-A computing background is not strictly necessary, but you must be keen to work in a dry setting. For applicants with computing experience, fluency in Linux/Unix, and excellent knowledge in a programming language is expected (Python, R/BioConductor). Prior experience with digital pathology or genomics analysis are considered an advantage.

**Main Duties and Responsibilities**
1. Take a leading role in the planning and conduct of assigned research individually or jointly in accordance with the project deliverables and project/group/School/College research strategy.
2. Document research output including analysis and interpretation of all data, maintaining records and databases, drafting technical/progress reports and papers as appropriate.
3. Establish and maintain your research profile and reputation and that of The University of Glasgow/ School/ Research Group, including establishing and sustaining a track record of independent and joint publications of international quality in high profile/quality refereed journals, enhancing the research impact in terms of economic/societal benefit, and gathering indicators of esteem.
5. Presentation of work at international and national conferences, at internal and external seminars, colloquia and workshops to develop and enhance our research profile.
6. Take a leading role in the identification of potential funding sources and to assist in the development of proposals to secure funding from internal and external bodies to support future research.
7. Take a leading role in developing and maintaining collaborations with colleagues across the research group/School/College/University and wider community (e.g. Academic and Industrial Partners).
8. Take a leading role in team/group meetings/seminars/workshops and School research group activities to enhance the wider knowledge, outputs and culture of the School/College.
9. Take the lead in the organisation, supervision, mentoring and training of undergraduate and/or postgraduate students and less experienced members of the project team to ensure their effective development.
10. Perform administrative tasks related to the activities of the research group and School, including Budgets/Expenditure.
11. Make a leading contribution to Teaching activities (e.g. demonstrating etc) and associated admin as assigned by the Head of School and in consultation with Principal Investigator.
12. Keep up to date with current knowledge and recent advances in the field/discipline.
13. Engage in personal, professional and career development, to enhance both specialist and transferable skills in accordance with desired career trajectory.
14. Undertake any other reasonable duties as required by the Head of School/Director of Research Institute.
15. Contribute to the enhancement of the University’s international profile in line with the University’s Strategic Plan: World Changers Together.

**Qualifications**

**Essential**:

A1 An awarded PhD or equivalent in Computer Science / Statistics / Computational Biology or a related area (or having submitted a PhD thesis prior to taking up the appointment).
A2 Good understanding of the state-of-the-art in deep learning in computer vision or medical images or computational biology.
A3 Proficient of programming using Python, and deep learning frameworks such as TensorFlow, PyTorch.

**Desirable**:

B1 A comprehensive and up-to-date knowledge of current issues and future directions in the use of deep learning in digital pathology or multi-omics approaches.

**Knowledge and Skills**

**Essential**:

C1 Proven skills in a field relevant to at least one of the following: deep learning in computer vision, deep generative models, self-supervised models, genomics analysis, and medical image analysis including histopathology slides, MRI, and CT scans. C2 Research creativity and strong cross-discipline collaborative ability.
C3 Excellent communication skills (oral and written), including public presentations and ability to communicate complex data/concepts clearly and concisely
C4 Excellent interpersonal skills including team working and a collegiate approach C4 Appropriate workload/time/project/budget/people management skills C5 Extensive IT and data analysis/interpretation skills as appropriate C6 Self motivation, initiative and independent thought/working
C7 Problem solving skills including a flexible and pragmatic approach C8 Good Team Leadership skills including demonstrable supervisory skills

**Experience**

**Essential**:

E1 Sufficient relevant research experience
E2 Experience in a field relevant to at least one of the following: deep learning in computer vision, deep generative models, self-supervised models, genomics analysis, and medical image analysis including histopathology slides, MRI, and CT scans.
E3 Experience of programming in a scientific setting
E4 Proven ability to deliver quality outputs in a timely and efficient manner
E5 A track record of presentation and

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