208 parallel-programming-"Multiple"-"Simons-Foundation" positions at University of Cambridge
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collaborative research objectives, proposals and projects. The role holder will be expected to plan and manage their own research and administration, with guidance if required, and to assist in the preparation
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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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) employer contribution, a health care cash plan funded by the College (allowing you to claim money for routine medical treatments including dental and optical), a free meal when on duty, and the opportunity
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leave (inclusive of Bank Holidays), access to a ‘cash plan’ healthcare scheme currently provided by Simplyhealth, free lunch (up to a specified monetary limit), free use of an on-site Gym and free parking
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programme involves development of high-throughput experimental capability (at Imperial College London). Our group is supporting the experimental team at Imperial College London with development of intelligent
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. Previous experience in atomic physics/modelling is desirable, as well as knowledge of IDL/Python/FORTRAN/C++ programming. Further information about the Astrophysics Group can be found at http
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projects. The role holder will be expected to plan and manage their own research and administration, with guidance if required. They must be able to communicate material of a technical nature and be able
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molecular biology and genetics, gene editing, and plant-microbe interactions. You will work under the management of Dr Evan Ellison to provide laboratory support for research programs under his direction
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demonstrate knowledge of Java (with familiarity of Python an advantage) and object oriented programming. An understanding of abstraction including familiarity with software design considerations is essential
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-detection-cd3-programme ) (CD3) programme. CD3 is a new, multidisciplinary and multi-institutional strategic national research initiative dedicated to using data to revolutionise our understanding of cancer