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-transparent materials, and the utilisation of deep learning algorithms to accelerate computational solutions. Scientific Objectives Develop a self-contained finite volume solver for solidification of multiphase
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managing supercomputer resources Strong skills in algorithm development for large sparse matrices Excellency in programming GPU accelerators from all major vendors Very good command of written and spoken
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works in close partnership with national and international researchers, enterprises and public authorities for joint R&D, skills development, and provisioning HPC and data services to accelerate
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the characteristics of particle beams to be used in compact radiation sources, through numerical simulations and experimental measurements. This activity is part of the European PACRI project (Plasma Accelerator
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techniques, thermal mapping, power consumption analysis, electromagnetic emission patterns, etc. These measurements will be conducted in combination with an accelerated aging protocol. 3. Analysis of the trade
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collaboration with Rolls-Royce plc, this project will use a new Ni-based superalloy as the primary demonstrator system to create a new paradigm for accelerated materials discovery. The program is situated
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project, please email Erika Mancini (e.mancini@sussex.ac.uk ) or John Spencer (j.spencer@sussex.ac.uk ) References: https://www.sussex.ac.uk/research/centres/sussex-drug-discovery-centre/ https
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Qualifications Graduate of the Accelerated BS in Nursing program at Rutgers School of Nursing (minimum 3.5 cum GPA in accelerated nursing program). Grade of B or higher in the courses in which they will be
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Investigating how DNA damage responses combat infections by the typhoid pathogen Salmonella enterica
human cells that accelerates an ageing-like process called senescence (Ibler et 2019, Nature Communications). Senescence is an innate defence against cancer marked by cell-cycle arrest but we recently
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works in close partnership with national and international researchers, enterprises and public authorities for joint R&D, skills development, and provisioning HPC and data services to accelerate