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Additional Information Eligibility criteria - PhD in astronomy, astrophysics, plasma physics and/or a related field ; - Advanced knowledge in solar physics, space plasmas, or plasma physics. Full expertise in
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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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, climate, soil properties) and biodiversity data from the citizen science program OAB (Observatoire Agricole de la biodiversité, https://www.observatoire-agricole-biodiversite.fr/ ), the PhD thesis will
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PhD fellowship 2 – Alexander von Humboldt and French-German Networks in the Early History of Ecology
» European studies Geography » Regional geography Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 10 Jun 2026 - 23:59 (Europe/Paris) Country France Type of Contract
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. Your qualifications: A Master’s degree in Physics, Chemistry, or a closely related field is required at the start of the PhD project. The candidate should have a background in theoretical solid-state
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) Positions PhD Positions Application Deadline 20 May 2026 - 23:59 (Europe/Paris) Country France Type of Contract Temporary Job Status Full-time Offer Starting Date 1 Oct 2026 Is the job funded through the EU
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Developing a regime map for the roller compaction process School of Chemical, Materials and Biological Engineering PhD Research Project Self Funded Prof Agba Salman Application Deadline
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December until 31 January. Please check our website regularly: https://www.cih.lmu.de/education/study-programs/phd-program/application Submit application to Information about the online application process
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3.3 billion SEK over 12 years from the Knut and Alice Wallenberg (KAW) Foundation. In 2026 the DDLS Research School will be expanded with the recruitment of 25 academic and 7 industrial PhD students
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environmental applications. Objectives : This PhD thesis seeks to reveal fundamental surface structure-property relationships by bridging state-of-the-art experiments with predictive computational methods