169 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"Stanford-University" positions in Sweden
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information of two reference persons. Copies of relevant BA and MA theses and other relevant publications. A letter that states your motivation for undertaking research training leading to a PhD, and that
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research and future research interests (no more than three pages), contact information of at least two references, copy of the doctoral degree certificate, and other certificates/grades that you wish to be
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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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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
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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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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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. In this project, you will work on nanoparticle research in close collaboration with Dr Cindy Xiao, analyzing cryo-TEM and scattering data and integrating these results to draw scientifically robust
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exposures and breast cancer risk. The focus of the project is on analyses of high dimensional and longitudinal data. The position is for three years, starting summer/fall of 2026 or upon agreement
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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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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