287 parallel-computing-numerical-methods-"Simons-Foundation" positions at University of Nottingham
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(or pro rata) plus standard bank holidays and five university closure days including closure between Christmas and New Year. Our reward scheme grants bonuses of numerous values for excellent work We are
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Applications are invited for a Research Associate/Fellow on an NIHR Invention for Innovation (i4i) Programme-funded project in the Breast Cancer Pathology Research Grou within the Nottingham Breast
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, this involves the application of innovative methods such as flow chemistry ramping and high-throughput experimentation to expediate reaction understanding in the syntheses of life-saving pharmaceuticals, whilst
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Department of Foundation Engineering and Physical Sciences at the University of Nottingham is looking for Teaching Assistant (fixed term) to teach and support students particularly on the Foundation Programme
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). Based at AEGIS in London, you will report to the Head of Innovation and work closely with AEGIS’s Innovation team. Fully supported by academic experts within the University’s School of Computer
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experience in these fields. The core abilities and attributes required include excellent communication skills, the ability to contribute to method improvement including recruitment plans, and collaborative
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. They should demonstrate a methodical approach to tasks, ensuring deadlines are met and the ability to work effectively under pressure. The candidate should also be capable of understanding and addressing non
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science methods to understand barriers to uptake of precision bred crops in the UK. The second project focuses on developing an ethical framework for zoonotic disease management to support a One Health
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, models, techniques and methods. Ability to assess and organise resource requirements and deploy effectively. Ability to build relationships and collaborate with others, both internally and externally. Some
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delivery or regenerative medicine. The student will formulate new 3D-printable materials and develop new design methods, for functional 4D-printed devices with either fast self-resetting responses or complex