124 parallel-computing-numerical-methods uni jobs at University of Cambridge in United Kingdom
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Research Support programme (TRS). TRS is a University-wide strategic initiative that aims to modernise research administration at Cambridge, eliminating operational inefficiencies and introducing digital
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Programme and other scientific studies. Develop automated methods and software to support large-scale bioinformatics analysis. Collaborate closely with a multidisciplinary team of clinicians, biologists, and
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reporting tools. You will have intermediate to advanced Excel skills in data manipulation and the presentation of financial information, good numerical problem-solving skills, attention to detail, as
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focusing methods to reduce channel interactions and improve speech perception with Cochlear Implants. Questions to be addressed are: What is the optimal neural excitation pattern for each electrode of a
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-edge methods such as ribosome profiling to explore translation dynamics. Reporter Assays Using RNA-based fluorescence or luminescence-based systems to investigate regulatory mechanisms in live cells. In
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printed materials to numerous internal and external customers. This is an exciting opportunity to work alongside experienced staff and play a key part in the continued development of the department and a
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experience of autism and neurodiversity. Familiarity with research methods and the academic environment. Excellent written and communication skills with experience writing newsletters, blogs, and multi-media
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Director of Programmes and Strategy Including Programme Leadership of the Von Hügel Institute Location: Edmund’s College, University of Cambridge Click here to view : Candidate Brief – St Edmund’s
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quality assurance. Ability to write clean, maintainable, and well documented code. A degree in Computer Science or a related field, or equivalent practical experience. Willingness to occasionally work
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be an excellent communicator and adaptable when it comes to scheduling and completing tasks. A methodical ability is sought with strong analytical skills and a positive, open-minded and pro-active