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Field
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physical modelling to better understand the physical and chemical phenomena underlying plasmonic activity, with the goal of developing high-performance materials. In this context, the PhD student will be
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PhD Scholarship This PhD project will develop an Australian-focused modelling framework to assess carbon and biodiversity market designs, comparing environmental and economic outcomes to inform
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, the PhD student will work on developing a particle transport model. This will involve examining the variety of equations used by different research communities in the literature and formulating
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model for the reactivity/selectivity in superacid conditions. Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant/UMR7285-FREGUE-005/Default.aspx Requirements Research FieldChemistryEducation
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Eberhard Karls University Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | about 15 hours ago
-ON-BRAIN (https://cordis.europa.eu/project/id/101227124 ) Project Reference: 101227124 Application deadline: 15/05/2026 Position Overview One PhD position is available in the µOrganoLab at the Institute
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Your position We are seeking a highly motivated PhD student to join our interdisciplinary research team. You will have the opportunity to apply cutting-edge quantitative methods and modeling
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. Following an offer of employment, the successful applicant will enroll in the CBS PhD School. Further information about CBS PhD scholarships and the PhD programme can be found at https://www.cbs.dk/en
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advanced model systems Neural circuits and systems neuroscience Full list of all 24 available projects on our website: https://oc10.meduniwien.ac.at/open-phd-positions Requirements / Skills: Master’s degree
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applicable in practice. Supervisor: doc. Ing. Erika Hodúlová, PhD. More information about PhD position: https://tf.uniag.sk/sk/doktorandske-studium-2 Additional admin information: renata.zahorska@uniag.sk
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farm management through innovative sensing technologies, advanced modeling, and intelligent automation. This PhD project contributes to PhenoRob’s initiative to develop digital twins for agroecosystems