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training and resources in computational science, including high-performance computing (HPC) clusters. For more information about the DDLS program, see here. The employment In connection with your admission
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advantage. Data processing skills using statistical computing, visualisation and data analysis tools (e.g. R, Python or similar) are also considered a merit. Emphasis is also placed on personal
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computing (HPC) environments Turbulence modelling and numerical methods Control theory and flow control Linux, version control (e.g., Git), and LaTeX Excellent academic results are also considered a
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% of full-time employment, distributed throughout your study period, which results in a corresponding extension of the studies. Departmental duties usually consist of teaching at first- and second
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to design solutions for technical specialization and ecosystem governance. In particular, trade-offs between model size, data needs, computing costs, privacy and secrecy will be addressed. Work duties
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extensive training and resources in computational science, including high-performance computing (HPC) clusters. For more information about the DDLS program, see here. The employment In connection with
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competence in c++ and GPU computing. good ability to work independently and to formulate and tackle research problems. good written and oral communication skills. good ability to cooperate and be able to work
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the leading AI institutions in Sweden. We have strong links to prominent national research initiatives, such as WASP and ELLIIT . You will have access to state-of-the-art computing infrastructure for
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of acoustic or measurement systems Practical experience of measurement technology and electronics Programming experience beyond introductory-level courses Experience of working with computing clusters
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doctoral programme in question, the following are considered as other qualifications: Strong foundations in Machine learning and reinformement learning. Cloud computing and cloud technology. Low-level