267 master-"https:" "https:" "https:" "https:" "FAPESP São Paulo Research Foundation" Postdoctoral positions in Sweden
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dots. We will explore the potential of these sustainable luminescent nanomaterials as color-converting layers in light-emitting devices and in other advanced optoelectronic applications. Our primary task
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, Ni-Cu, Ni-Co). The obtained lignin oil would be upgraded to fuel grade aromatics through hydrodeoxygenation (HDO) with the same catalyst used in the RCF process. The main objective of this research is
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also includes limited higher education teaching. Teaching may be included in the role. The main assessment criterion is scientific expertise in the subject area. Other qualifications The position
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, you will work with advanced 3D in vitro models of fibrosis and metabolic disease, using multiple primary and immortalized human cell lines. Your research will focus on identifying molecular mechanisms
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. The application should be registered via Umeå University’s e-recruitment system Varbi (https://umustipendie.varbi.com/en/what:job/jobID:887298/ ) and submitted by the deadline 18 March 2026. Please apply at with
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considered for the position. Where to apply Website https://lu.varbi.com/en/what:job/jobID:908591/type:job/where:39/apply:1 Requirements Research FieldPolitical sciencesEducation LevelPhD or equivalent
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practical parameterizations of identified distortions that can be used to model and correct for their effects on the data. Finally, the project will develop PSV master curves for Kerguelen and South Georgia
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, in close collaboration with wider society. Chalmers was founded in 1829 and has the same motto today as it did then: Avancez – forward. URL to this page https://www.chalmers.se/en/about-chalmers/work
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of grades, information for references, letters of recommendation, etc.). Where to apply Website https://lu.varbi.com/en/what:job/jobID:908809/type:job/where:39/apply:1 Requirements Research FieldMedical
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at: https://www.umu.se/en/department-of-computing-science/ Project description and working tasks The project will develop privacy-aware machine learning (ML) models. We are interested in data driven models