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for brain tissue interfacing. The focus includes neuromodulation and localized drug delivery. A central goal is to establish design rules for bioelectronic interfaces that are grounded in a mechanistic
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robustness, fairness, and accessibility. You will design and run reproducible experiments, measure relevant resource metrics, implement prototypes in Python, and communicate results through publications and
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well as understanding experience in independent project work as well as the ability to work in a team. For this position, it is required that you have strong programming skills and interest in software security. Meriting
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experience are also seen as meriting: mammalian cell selection sgRNAs design Your workplace Your workplace will be at Division of Molecular Medicine and Virology (MMV ), at the Department of Biomedical and
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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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, network science, and decentralized machine learning. Welcome to read more about us at: https://liu.se/en/organisation/liu/isy/ks . For more information about working at ISY, please visit: https://liu.se/en
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/tensions between the global North and global South. We will also consider applicants focused primarily on Swedish/Nordic cases or topics. For full information of the five REMESO research streams see: https
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of grief, and whether the experience of loss changes how individuals view their own mortality. The subprojects will use multiple methods, including qualitative analyses, questionnaires, functional magnetic
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solutions across the natural sciences. Your workplace You will be employed at the Department of Mathematics in the Division of Applied Mathematics, https://liu.se/en/organisation/liu/mai/tima . The research
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of machine learning such as robustness, fairness, and accessibility. You will design and run reproducible experiments, measure relevant resource metrics, implement prototypes in Python, and communicate results