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, NTNU. This PhD position is financed via the European Research Council’s Advanced Grant Program. The candidate needs to fulfill the requirements of NTNU for obtaining a PhD. The appointment has a duration
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meet the requirements for admission to the faculty's Doctoral Programme Excellent oral and written presentation skills in English (equivalent to level B2) Excellent reading skills in the languages
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the interface between different scientific disciplines including ecology, evolutionary biology, mathematics and statistics, informatics, economics and social sciences. We aim to apply advanced statistical and
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meet the requirements for admission to the faculty of engineering's Doctoral Programme Good oral and written communication skills in English High level competency in GIS and Hydrology Field experience
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to the faculty's Doctoral Programme (https://www.ntnu.edu/studies/phkjpros) All applicants must be able to communicate fluently in English (in speaking and writing
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Helmholtz Centre for Environmental Research - UFZ • | Leipzig, Sachsen | Germany | about 7 hours ago
for learning German are provided. Mode of study Less than 50% online Programme duration 6 semesters Beginning Only for doctoral programmes: any time Application deadline Applications for open doctoral positions
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or September 2025. FELLOWSHIP GRANT: Stipend of $70,000 and research funds up to $5,000. This appointment is eligible for subsidized medical, dental, vision, and other benefits through Harvard University
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grade background, you may be considered if you can document that you are particularly suitable for a PhD education. You must meet the requirements for admission to a PhD Programme either at the Faculty
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Studies Sports Science Psychology Engineering Sciences Civil and Environmental Engineering Mechanical Engineering Electrical Engineering & Information Technology Faculty of Computer Science Natural & Life
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Technology, The University of Nottingham. Applicants are invited to undertake a three-year PhD programme in partnership with industry to address key challenges in on-platform manufacturing engineering. The