28 structures-"https:" "https:" "https:" "https:" "https:" "https:" "Imperial College London" scholarships at Linköping University in Sweden
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, and modeling of structural heterogeneity in biological macromolecules. Rather than only applying established workflows, you will explore new computational formulations and alternative ways
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. The operations are conducted within the units Traffic Systems, Quantitative Logistics, Flight logistics, Rail and Public Transport, Mobile Telecommunications, Construction Logistics and Construction Technology
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concepts Structure–property relationships in bio-based materials Advanced characterization techniques (e.g. NMR, GPC/SEC, mass spectrometry, thermal analysis, mechanical testing) Your PhD research will
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and supportive Laboratory of Organic Electronics (https://www.liu.se/loe ). LOE currently has >150 researchers and research students across thirteen group sharing an open lab environment for fruitful
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that values scientific curiosity, independence, and teamwork. More information about the division is available at: https://liu.se/organisation/liu/isy/rt . The employment When taking up the post, you will be
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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/article/open-positions-at-isy . You will become a key member
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learning which clearly integrates the two subject areas within the division. For more information about STIMA, please see https://liu.se/en/organisation/liu/ida/stima The project will be carried out in a
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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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distributed wireless systems" which is conducted in collaboration between Linköping University (LiU) and Lund University (LU). Read more here: https://elliit.se/project/machine-learning-for-sensing-in