316 parallel-processing-bioinformatics positions at University of Cambridge in United Kingdom
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Fixed-term: The funds for this post are available for 2 years. Programming languages provide an interface for developing increasingly complex models in science. However, as computer models grow more
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queries regarding the application process please contact hr@hist.cam.ac.uk Please quote reference JJ46063 on your application and in any correspondence about this vacancy. The University actively supports
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to younger and older adults. In addition, the post-holder will help with organising lab administration. Previous experience with neuropsychological testing and strong computer skills (e.g., MS Office, R
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. DNA cloning and mutagenesis, protein purification) through to structural data collection, processing and model building is essential. Some experience in biophysical assays such as SPR/ITC is highly
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details of our staff benefits. Application process In order to apply, please submit a completed application form and send it along with a covering letter, outlining your skills, experience and/or aptitude
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personal data which the College will process in accordance with its data protection obligations and its Data Protection Policy. Further information is available on the College website (https
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six month probation period). Competitive salary of £31,000 per annum. Please visit the 'Join our Team' page for further details on our staff benefits. Application process In order to apply, please
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staff benefits. Application process In order to apply, please submit a completed application form and send it along with a covering letter or email, outlining your suitability for the role. Please also
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@arch.cam.ac.uk If you have any queries regarding the application process, please contact the HR team on hr@hsps.cam.ac.uk Please quote reference JC45852 on your application and in any correspondence about this
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accomplishments and future research interests. Contact information for three references. For queries relating to your application or the application process, please contact Professor Matthew Gaunt via email on