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(e.g., R, Python, SAS, MATLAB). A commitment to high-quality curriculum development, course coordination, and inclusive, student-focused learning. A developing research profile with potential
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, Matlab etc) A good understanding of appropriate statistical analysis techniques Qualifications Mandatory: PhD or equivalent in relevant field. Please Note: Appointment to this position is subject to
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highly desirable. Strong computer programming experience, preferably with Matlab, C++, or Python. Demonstrated ability to work in a team, collaborate across disciplines and build effective relationships
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materials. Evidence of publications in high-quality peer-reviewed journals and presentations at major conferences. Proficiency in data analysis and relevant tools (e.g. Python, MATLAB, WSxM, Gwyddion). Strong
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confidence and a proven track record using common coding languages (e.g., Python, Matlab, Fortran) expertise and a publication track record in numerical geoscience modelling, such as, but not limited to plate
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ability, including proficiency in C++/ Fortran, Linux, bash, git, Python / Matlab and NetCDF and experience working with high-performance computing environments and github. Demonstrated high level
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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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, and skills in modelling & programming tools such as SINCAL, PowerFactory, OpenDSS, PSCAD, Python, Matlab, R, or Julia would be desirable. For full details about this role, please review the Position
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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