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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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, computer science, mathematics, statistics, physics, or a related area that is considered relevant for the research topic of the project, or completed courses with a minimum of 240 credits, at least 60 of which must
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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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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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opportunity to work on a collaborative, interdisciplinary project between computer science and materials science that aims to make drying process of wood more sustainable. The position As a research engineer
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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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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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. Additionally, you possess solid analytical skills and approach complex problems in a structured and solution-oriented manner. The workplace You will work at the Division of Communication Systems
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that translate this data into meaningful indicators of battery health, performance, and lifetime. The work combines physics-based modelling with data-driven approaches, with the goal of enabling accurate and
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application! Your work assignments We are looking for a PhD student to work on the development of novel spatio-temporal machine learning methods. Our world is inherently spatio-temporal, i.e. physical processes