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Transform/pseudospectral method for the development of numerical models Code scripts using programming languages such as Fortran, Python, and/or MATLAB Validate and test of new methods and perform numerical
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Code scripts using programming languages such as Fortran, Python, and/or MATLAB Validate and test of new methods and perform numerical simulations Pose appropriate initial and boundary conditions for
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quantitative data analysis and statistics relevant to neuroscientific methods, utilizing programs such as Matlab, Python, R, etc. You have experience with experimental psychology and designing experiments using
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Preferred selection criteria Experience with programming or scripting (e.g., Python, R, SQL) for spatial analysis or modelling Experience with participatory planning tools or civic technology platforms A
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placing the results in a relevant clinical context that you have good programming skills in Python (PyTorch/TensorFlow) and are proficient in programming in Linux/shell that you are familiar with common
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criteria Experience with programming or scripting (e.g., Python, R, SQL) for spatial analysis or modelling Experience with participatory planning tools or civic technology platforms A strong record of peer
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generative artificial intelligence to medical images and placing the results in a relevant clinical context that you have good programming skills in Python (PyTorch/TensorFlow) and are proficient in
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in a previous PhD project. In addition to electromagnetic geophysics, the candidate is expected to contribute to the development of novel workflows for joint inversion of multiple data types (e.g
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projects The ability to carry out and publish high-quality research Knowledge on ROS, Python, C++ and Matlab The following qualifications will be considered an advantage when applicants are ranked: Practical