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Position: Research Assistant
Institution: Swansea University
Department: Medical School
Location: Swansea, Wales, United Kingdom
Duties: Based at Swansea University, you will join the reproductive biology and gynaecological oncology research team. You will be supported by experienced staff from Swansea University, and will benefit from substantial personal development opportunities, including project specific training as necessary
Requirements: You will have a PhD in bioinformatics, applied mathematics, physics/engineering or computer science with a strong background and expertise in image analysis, pattern classification and machine learning. You must be able to demonstrate practical experience in these areas, as well as basic analytical skills
   
Text: Cynorthwy-ydd Ymchwil Contract Type: Fixed Term Contract Expiration date: 12-Nov-2017 Salary Salary £28936 per annum plus USS pension benefits Main Purpose of the Post Based at Swansea University, you will join the reproductive biology and gynaecological oncology research team. You will be supported by experienced staff from Swansea University, and will benefit from substantial personal development opportunities, including project specific training as necessary. You will have a PhD in bioinformatics, applied mathematics, physics/engineering or computer science with a strong background and expertise in image analysis, pattern classification and machine learning. Experience in characterization at the nanobiology level is highly desirable. You must be able to demonstrate practical experience in these areas, as well as basic analytical skills. You must be an effective communicator both orally and with written work with the ability to work independently and as part of a team. Main Duties Specific Duties and Responsibilities: 1. the development and evaluation of methods for image analysis and biophysical characterisation of exosomes and cell line populations. 2. to conduct appropriate research, development and implementation, working under the guidance of and together with relevant senior staff and contribute to the day-to-day running of the project. 3. to liaise with Prof Steve Conlan and Prof Paul Rees, and have frequent discussion and face-to-face meetings and to work and interact closely with the industrial partners. 4. to deliver technical presentations at local group meetings, and to demonstrate the technology at exhibitions, and other events. 5. to assist in disseminating results at seminars, and conferences. 6. to take the lead in managing the development project and interfacing with senior research staff, reporting results on a regular basis. 7. to work with and assist University undergraduate students working on related projects. 8. to assist in the day to day financial management of the project consumables budget, be responsible for preparing reports and monitoring the financial status of the project in coordination with Prof Conlan. eneral Duties and Responsibilities This appointment in Swansea University Medical School has a number of generic objectives common to appointments at this level. These relate to developing and generating novel concepts, designs, directions, and outputs in areas related industrial control and electronics technology. The Research Assistant will be expected to: 1. Pro-actively contribute to research and development, to gather, prepare and analyse systems, generate original ideas and present results. 2. Prepare reports, draft patents and papers describing the results of the work, both confidential and for publication. 3. Be self-motivated, apply and use their initiative, aiming to determine suitable ways to tackle challenges and seeking guidance when needed. 4. Interact positively and professionally with other collaborators and partners within the Company, the University and beyond in industry/commerce/public organisations and academia. 5. Keep informed of developments in the field in technical terms and their wider implication for commercial applications and the knowledge economy. 6. Demonstrate and evidence own professional development, particularly with regard to any appraisal, performance reviews, and participation in training events. 7. Maintain and enhance links with the professional institutions and other related bodies where appropriate. 8. Participate in and undertake other research or administrative activities appropriate to their experience and skill, and as directed by the Head of the School or such other person delegated to act with their authority. 9. Observe best-practice protocols in maintenance and retention of work related. This includes ensuring project log-book records are deposited with the Company and University Supervisors. 10. To promote equality and diversity in working practices and to maintain positive working relationships. 11. To conduct the job role and all activities in accordance with safety, health and sustainability policies and management systems, in order to reduce risks and impacts arising from the work activity. 12. To ensure that risk management is an integral part of any decision making process, by ensuring compliance with the University’s Risk Management Policy Person Specification Essential criteria 1. A PhD in bioinformatics, applied mathematics, physics/engineering or computer science 2. Ability to use typical image analysis software e.g. ImageJ, CellProfiler etc. 3. Ability to use scientific coding languages e.g. Python, MATLAB, C to perform image analysis techniques and image classification tasks. 4. Understand the process of cell staining to optimise image analysis. 5. Excellent oral, written and presentation skills with the ability to communicate to both an expert and general audience, 6. Evidence of the ability to actively engage in and contribute to writing and publishing research outputs 7. A demonstrable ability to conduct research in line with the objectives of the project 8. Ability to model data computationally in order to understand its relevance to biological phenomena in the life science sector and improve high throughput analysis of vast data sets 9. The ability to manage an experiment from concept to outcome. Background You are encouraged to investigate these sites on the Internet for more general information about Swansea University Medical School : www.swansea.ac.uk/medicine about living in Swansea and its surrounds: www.swansea.gov.uk and travelling to work at the University: http://www.swansea.ac.uk/media/CampusPlan.pdf Informal enquiries contact details and Further Information Informal enquiries are welcome and should be directed to Prof Steve Conlan r.s.conlan@swansea.ac.uk Fixed Term Contract end date This is a fixed term contract funded until 31 August 2020 Terms and Conditions of employment Hours : 35 per week. (This is a full time post but applications from individuals seeking part time, job share or flexible working arrangements are welcome) Annual leave : 31 days per annum plus Bank Holidays (pro rata for part time staff) The Job Description sets out the duties of this post as at the closing date. It has been graded as RG 7 against the benchmark profile for this grade. The appointment is subject to the General Terms of Appointment for Academic Staff as set out in the attached: http://www.swan.ac.uk/personnel/GeneralInformation/TermsandConditions/AcademicStaffTermsConditions/ You are encouraged to investigate these sites on the Internet for more general information about living in Swansea and its surrounds: www.swansea.gov.uk and travelling to work at the University: http://www.swan.ac.uk/alumniandvisitors/MapsLocation/ .
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