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areas, but application to dynamic systems is hampered when the number of time samples is small compared to state dimensions, while latency and stability remain central concerns. As a result, learning
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research initiatives, such as WASP and ELLIIT . You will have access to state-of-the-art computing infrastructure for machine learning, e.g. through Berzelius . Linköping University will also host the new
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in oral and written English. It is considered advantageous if you have solid programming skills in Python, have good knowledge of LaTeX and version control systems (git), and are comfortable working
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is strongly advantageous if you have excellent study results, a solid background in mathematics and statistics, and strong motivation in theoretical and methodological research. Experience with
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solid and well-motivated approaches. You enjoy tackling challenging problems, building deep technical competence, and gradually establishing yourself in an internationally competitive field. At the same
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) Country Sweden Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a
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in core computer science. Alternatively, you have gained essentially corresponding knowledge in another way. In addition, CUGS requires: a solid knowledge of English, both in spoken and written form as
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understanding of ionic and molecular transport at the implant-tissue interface and in the microenvironment around the implant. This will enable us to predict how these transport properties shape electrode
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around us evolve over both time and space, making spatio-temporal processes and data omnipresent in science and technology, with applications ranging from weather forecasting to cardiovascular medicine
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material, and produces high-quality documents. Furthermore, you have a solid understanding of numerical data and can solve numerical tasks quickly and easily. Experience in route optimization and strong