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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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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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equations. Your main research assignments will be to develop new models and methods for generative sampling and Bayesian inference. You will be jointly supervised by Assistant Prof. Zheng Zhao (https
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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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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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) 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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conditions for research of high scientific quality with clear industrial relevance. Read more about the division here: https://liu.se/en/organisation/liu/isy/fs . For more information about ISY, click here
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). For more information about our work, please visit our webpage: https://liu.se/en/organisation/liu/isy/cvl . For more information about ISY, go to: https://liu.se/en/article/open-positions-at-isy
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curiosity, independence, and teamwork. More information about the division is available at: https://liu.se/en/organisation/liu/isy/rt . For more information about working at the Department of Electrical
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biology of infection. For more information, please see https://www.scilifelab.se/data-driven/ddls-research-school/ The future of life science is data-driven. Will you be part of that change? Then join us in