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parallel to this PhD project. Engagement is to be made in accordance with the regulations in force concerning State Employees and Civil Servants and the acts relating to the Control of the Export
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engineering aspects to the project (around model validity) and computer science aspects (around parallel efficiency and computational time). You will be working closely with engineers at Rolls-Royce and with
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interrogate appropriate experimental systems, while monitoring insights arising from parallel genetic, biochemical and molecular work in disease models at A*STAR. Qualifications A PhD in cell biology
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of infectious diseases. • Experience with data analysis using statistical inference techniques. • Experience with health economic evaluations. • Experience with parallel and/or high-performance computing
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preferably) Strong skills in turbulence modelling, CFD mesh generation and use of parallel computing Have relevant experience in working with aerosols and droplets Proficient in handling large data sets and
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would be doing: You will plan and conduct research, helping you refine your research interests and identify which area best aligns with your clinical background and long-term academic goals. In parallel
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of structure-function quantifications. We also perform CRISPRa high throughput screening and massively parallel reporter assays (MPRAs) in iPSC-CMs. A current major focus of the lab is implementation of MPRAs
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these codes in C++ or Fortran Adopting these codes for multiple-CPU and/or GPU platforms via parallelization schemes. Validating these codes via canonical and real-world examples. Job Requirements: PhD in
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full aircraft engine, running on the UK’s supercomputing services. There will be both engineering aspects to the project (around model validity) and computer science aspects (around parallel efficiency
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highly automated workflow. This means rather than having a researcher building one strain at a time manually, the same researcher could build hundreds or thousands of strains in parallel using our robotic