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packages such as OpenCV, as well as machine learning libraries and packages such as PyTorch,TensorFlow and Caffe. Programming experience in Python or MATLAB. Sound knowledge of systems and software
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overall or higher or equivalent. Have an experience with analytical and numerical solution methods for partial differential equations and working knowledge of Matlab and Latex. A full list of selection
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in CFD software tools such as Ansys Fluent and CFX and with experience in coding using MATLAB, Python, and User-Defined Functions (UDFs). Strong technical communication skills. At Level B
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, such as Python and MATLAB (by MathWorks), for data analysis, simulation, and automation tasks. The successful candidate may be required to complete a number of pre-employment checks, including: right
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of the following areas: machine learning, energy system modelling and simulation, or digital twin systems. Proficiency in programming languages (e.g., Python, MATLAB, or similar) and experience with
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modelling, simulation tools such as COMSOL, and programming in MATLAB, Python, or C++. You'll be part of a supportive environment that values creativity, technical excellence, and impactful research. By
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experience. Strong coding skills in commonly used scientific languages (e.g. Python, Matlab, shell script, C) Demonstrated experience in performing simulations at the atomic-scale, including density functional
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: Conduct research on bubble-particle interactions in flotation across molecular to industrial scales using advanced modelling tools like CFD, Matlab, and experimental techniques such as AFM and XCT
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processing particularly for multi-modal (hyperspectral, RGB, LiDAR) and high-dimensional data. Experience in programming languages relevant to technical applications, e.g. Python, Matlab, - R and corresponding
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storage area. It is preferred that the candidate has technical proficiency in one or more of the following areas: Simulation and modelling of electrical equipment/systems (using software like PSCAD, MATLAB