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knowledge and the development of sustainable management practices for marsh environments. Job Related Minimum Required Education and Experience The ideal candidate holds a PhD in environmental studies, marine
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academic salary scales set the minimum pay at appointment. See the following table for the current salary scale for this position: https://www.ucop.edu/academic-personnel-programs/_files/2025-26/policy
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connected to the project “Bayesian Enhanced Tensor Factorization Embedding Structure (BETTER)”, and this PhD project specifically aims at developing a unified, scalable, and interpretable framework for tensor
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: Doctorat de l'Université Grenoble Alpes PHD Country: France Where to apply Website https://www.abg.asso.fr/fr/candidatOffres/show/id_offre/136951 Requirements Specific Requirements With a Master degree, or
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plans for developing a successful externally funded research program. The above application materials should be submitted online at https://academicjobsonline.org/ajo/jobs/31866 ">https
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of Bologna. Where to apply Website https://jobrxiv.org/job/university-of-bologna-27778-phd-decision-making-in-prof… Requirements Additional Information Work Location(s) Number of offers available1Company
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
professional opportunities that span the campus and community. University employees can choose from a wide range of professional training opportunities for career growth, skill development and lifelong learning
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topic This PhD project will investigate the safety and resilience of bridges under climate change-induced hazards such as flooding, scour, and debris impacts. The research aims to develop advanced
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as Assistant Professor is contingent upon the candidate presenting a research plan that clearly outlines the direction and further development of the research profile established during the PhD
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empirically the historical evolution of political cleavages and socioeconomic inequalities, with a multidisciplinary perspective and the use of granular local level data and cutting-edge statistical methods