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Field
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United Kingdom Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research
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lasers with high-average and high-peak power Building of optical cavities Running existing simulation codes in Julia and processing their results. Helping to develop new models and algorithms to simulate
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innovative modelling methodologies, generate high quality computational and analytical insights, and translate these findings into improved process understanding and industrially relevant solutions. The role
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performance computing clusters would also be advantageous Strong foundation in Fluid Dynamics Strong prior experience in CFD – particularly in building fire combustion and spread. Strong skills in turbulence
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experiments Experience in scientific computing relevant to an online environment Proven track record of research in experimental particle physics High level analytical capability Ability to communicate complex
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in magnetic 3D nanoscale metamaterials to design next-generation high-performance computational devices. Specifically, you’ll investigate how vortex and spin wave dynamics can be modified in a
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ML to interpret or guide experimental work. High-performance computing (HPC) and data management for large-scale materials datasets. KEY SELECTION CRITERIA Join us if you have: Doctorate degree from a
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synthetic biology strategy to enable the introduction of novel metabolic capabilities into high-performance crop varieties. The ideal candidate will have a strong background in biological nitrogen fixation
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) in computational materials chemistry/physics, or related relevant area. The candidate must have demonstrable experience working with high-performance computing infrastructure. The candidate must have a
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to the creation of knowledge in the field of early cognitive and social-emotional development, by undertaking a specified range of activities within an established research programme and/or specific research