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can be directed to Kiran R. Patil (kp533@mrc-tox.cam.ac.uk ) If you have any queries regarding the application process, please contact hradmin@mrc-tox.cam.ac.uk Further information can be found on our
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at claire.kennan@rhul.ac.uk . For queries on the application process the Human Resources Department can be contacted by email at: recruitment@rhul.ac.uk Please quote the reference: 0725-153 Closing Date: 23:59, 1
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at claire.kennan@rhul.ac.uk . For queries on the application process the Human Resources Department can be contacted by email at: recruitment@rhul.ac.uk Please quote the reference: 0725-158 Closing Date: 23:59, 1
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The post holder will develop computational models of learning processes in cortical networks. The research will employ mathematical modelling and computer simulation to identify synaptic plasticity
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processes. Reasonable adjustments will be made at each stage of the recruitment process for any candidate with a disability. We are open to considering applications from candidates wishing to work flexibly.
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Associate in the field of Quantitative Sedimentology and Geophysics of Seafloor Processes. The successful applicant will be part of two major NERC funded projects to make the first detailed measurements
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experience in image data processing and analysis Familiarity with femtosecond/picosecond lasers and safe alignment practice. Clear, timely communicator who enjoys collaborating across physics, engineering and
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We are recruiting a lead post-doctoral researcher with a background in nutrition for an ESRC funded project on ultra-processed food, nutrition and eating behaviour. The researcher will join the
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administrative activities. This involves small scale project management, to co-ordinate multiple aspects of work to meet deadlines. Application Process Applications for this vacancy are to be made online via
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, we would love to hear from you! Application Process: To apply, please submit a CV and covering letter detailing your suitability, on the application portal. Please refer to the job-role requirements in