2,761 structures-"https:" "https:" "https:" "https:" "https:" "University of California, Santa Cruz" PhD positions
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derive generally applicable guidelines for the design of improved organic materials. Interested candidates may want to take a look at our recent work https://www.nature.com/articles/s41467-025-67722-4 and
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, or for improved structuring in model training and design. Work on this project will require research into novel methods to represent model variations and attribute them to specific attributes and tasks. The value
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of your doctorate Table of contents of your written thesis Short description of the structure of the thesis (3-5 pages) Statement with key information (no length requirement - you have to convince
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) Where to apply Website https://pica.cineca.it/imtlucca/imtlucca-phd-sys-2026/ Requirements Additional Information Eligibility criteria Eligible destination country/ies for fellows: Italy Eligibility
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energy system models based on the institute`s own open-source FINE framework https://github.com/FZJ-IEK3-VSA/FINE. Your tasks in detail: Implementing geothermal plants with material co-production in
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the global top tier. For example, csrankings.org lists DESS as no. 2 in Europe and no. 11 in the world within Databases for the period 2021-2025. More information about DESS can be found at: https
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scientific organisation. Where to apply E-mail personal@ufz.de Website https://recruitingapp-5128.de.umantis.com/Vacancies/3370/Description/2 Requirements Additional Information Website for additional job
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: For the full advertisement, including details on the project, eligibility and how to apply, please visit: https://www.iwm.org.uk/research/doctoral-awards Candidate requirements: Applicants should ideally have
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. Descriptions of particular PhD topics can be found here https://fu.sav.sk/en/education/phd-themes/ Application deadline 31/03/2026 Starting date: 01/09/2026 Income: stipends starting from 1174.5 eur/month (no
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design strategies, while producing structured spatio-temporal datasets that will serve as input for realising predictive models. Objective 3 — Realize predictive tools for scenario-based assessment