157 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"Goethe-Universityrankfurt" positions in Sweden
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doctoral student will address the same topic from a business perspective. The student will also be afilliated with the NextG2Com industrial competence center, in the research theme on Integrated Data
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to SEK 35,600. Additional information Doctoral students are affiliated with a research school, normally the Faculty of Arts and Humanities Doctoral College . The studies are coordinated with the doctoral
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for organisations and individuals. For more information about our department and research groups, visit the Department of Computer Science and Informatics (switch to the Swedish version for all bachelor programmes
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research competence, Contact information for two referees who are willing to act as references, Other documents that the applicant wishes to claim. The application, including attached documents, must be
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of childhood, citizenship, and societal responsibility. Information about the project Children's rights and participation in Swedish civil preparedness – portal.research.lu.se . Information about doctoral
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equality and diversity as a strength and an asset. Work duties The work entails to participate in and lead data collection within the framework of a long-term population study of insects (damselflies
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working with associated techniques, such as bioprinting, is considered an asset. To be eligible for the position, the applicant must be able to analyze and interpret data, have excellent oral and written
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collaboration with industry. For information on relevant background research, please refer to our earlier publications: doi.org/10.1038/s41467-025-55954-3 and doi.org/10.1002/ente.201402201 and doi.org/10.1038
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techniques such as SEM, TEM, XRD, EDS, EBSD, FIB/SEM etc., as well as physico-mechanical characterization techniques such as tensile, compression, DSC/TGA, etc. as well as analysis of the data with good
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information about us, please visit: www.dbb.su.se . Project description The candidate will develop machine learning (ML) strategies, primarily revolving around interpretable ML and generative AI, to study