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; or Experience with high-fidelity solvers, e.g. SU2, OpenFoam, StarCCM+, Fluent; Proficiency in programming, e.g. Python, Matlab, C; Experience utilizing high-performance computing (HPC) to parallelize workflows
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.-Prof. Dipl.-Ing. Dr. Siegfried Benkner, focuses on research in programming paradigms, languages, compilers and software infrastructures for scientific computing to support users in the process of solving
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BBSRC Yorkshire Bioscience DLA Programme: Engineering Stomata: How Shape Informs Function School of Biosciences PhD Research Project Competition Funded Students Worldwide Prof Andrew Fleming, Prof
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BBSRC Yorkshire Bioscience DLA Programme: How do cells coordinate nutrient scavenging pathways? School of Biosciences PhD Research Project Competition Funded Students Worldwide Prof Jason King, Dr
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: Nonlinear dynamical systems modelling Large-scale simulations and high-performance computing Parallel programming and optimisation techniques These are high-value skills with applications across academia
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. Strong scripting skills (e.g., Bash, Python) to automate tasks, develop tools, and streamline workflows. Comprehensive understanding of HPC infrastructure, cluster management, parallel computing, and
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and distributed memory programming tools (e.g. OpenMP, MPI) Accelerator programming (e.g. CUDA, OpenCL, SYCL) Serial and parallel debugging and profiling Parallel numerical algorithms and libraries
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parallel, forward genetics will be used to identify novel regulators of the fungal cell wall, and mutants will be studied with the methods above to find potential antimicrobial targets. We will provide
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about the ones you don’t check! Familiarity with the theory of electromagnetic fields and waves. Experience with programming in C++ and / or Python. Some exposure to parallel computing, e.g., OpenMP, MPI
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. These pollutants have accumulated in soils and vegetation, and remain stored for decades potentially impacting on the food system in the UK. In parallel, current agricultural land management and food production