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case studies from these regions. Skills and proficiency in working with open-source software programs, such as QGIS and R, are advantageous, as well as demonstrated ability to contribute
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3D MT data and familiarization with 3D anisotropic inversion software; Acquisition of new regional 3D MT data, data processing and 3D inversion; Interpretation of anisotropic models and integration
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. Contribute to research projects within discrete-event systems, supervisory control theory, and formal verification of automation systems. Engage in teaching at undergraduate and master's levels, if required
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the research and education has a unique breadth, with large activities in classical scientific computing areas such as mathematical modeling, development and analysis of algorithms, scientific software
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analysis in medicine. Experience of software version control with Git, typesetting with LaTeX, use of Linux computers; Experience with graph-based methods, and graph convolutional/neural networks; Experience
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funded by Wallenberg AI, Autonomous Systems and Software Program (WASP). WASP is Sweden’s largest individual research program ever, a major national initiative for strategically motivated basic research
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of software and numerical simulations of turbulent flow in complex geometries. The project will entail work with the direct numerical simulation codes Neko and PyFR. Qualifications Requirements A doctoral
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of collaborative software development tools Hands on experience in constructing and commissioning sample environments and bringing such projects to a successful conclusion Experience in providing user support As a
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datasets in relevant areas such as cardiovascular epidemiology, genetic epidemiology, or cardiac imaging. Expert user of a least one widely used statistical software (e.g. SAS, Stata, R). Proficient in
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revolution in the field of legged robotics and their successful custom deployment in various applications. Project overview The aim of this project is to develop a software framework for AI based Holistic Co