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Experience with the use of Finite Element Methods in modelling acoustic problems (assessed at: Application form/Interview) Essential Application and Interview Experience with Python or Matlab or any other
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, ideally including Matlab and dynare, and standard data analysis packages, ideally including E-Views. Strong interest in real world economic and policy developments. Able to constructively challenge
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power systems – specifically voltage sourced converter based HVDC. The work will involve developing and analysing models of VSC-HVDC, their associated controls, and network connection, in PSCAD and Matlab
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related field* Experience with multi-modal medical image registration Computer programming skills (e.g., Matlab, Python, C++) Strong academic record, evidenced by publications in peer-reviewed journals and
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element modelling and data-driven multiphysics approaches. Fluency in Python, Fortran, MATLAB and/or C/C++ and prior work with common finite element simulation software are required. You will help create a
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performance in previous studies is also valued. Knowledge of at least one scientific computing programming language, e.g., MATLAB or Julia, is highly desirable. Other requirements: Master’s degree in
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management techniques Experience of optimisation of applications such as R, Matlab, Nagios, SLURM, Open Stack, Cuda, Sigmaplot, Exceed, Graphpad, Cognos, Shiny Apps, Docker, experience of shell scripting
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. You will benefit from: Access to high-performance computing resources: HPC Stanedge. A comprehensive suite of commercial and open-source software (e.g., Abaqus, Ansys, COMSOL, MATLAB, PyTorch, …). A
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radiances. Experience applying quantitative methods to Earth Observation datasets using a scientific computing programming language such as Python, IDL, MATLAB or equivalent is required. Demonstrable ability
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programming languages commonly used in scientific computing such as Python, MATLAB, and/or R • Familiarity with lower-level languages (e.g. C++) is advantageous. • 1-2 years of professional experience in