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02.03.2026 Application deadline : 31.03.2026 The research project “Feathers of Empire: Commodifying and Conserving Nature during the 19th Century” invites applications for the position as PhD
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, reduced noise, and improved energy efficiency. This PhD research is to develop a digital-twin toolset to accelerate net-zero aviation progress. Aim Tasks of this PhD include Real-time digital twin
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Your Job: You will participate in an international team in an EU-funded Doctoral Network project called MINDnet. The project consists of 15 PhD students at 7 universities, one research center and
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Analytical Food Chemistry at Technical University of Munich | Freising, Bayern | Germany | 4 days ago
) and fourteen associated partners including six from industry and two start-ups. For more information, please have a look at https://microsunset.dtu.dk/ . To be eligible for a MICROSUNSET PhD
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academic and industrial training, preparing you for diverse career pathways in research or industry • Cohort Experience: Build your research network through inclusion in a vibrant cohort of PhD students
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Supplement and Monthly Family Allowance (if eligible): according to the rules of EU Marie Currie European Training Network programs Website for additional job details https://www.hb.se/en/about-ub/work-at-ub
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Currie European Training Network programs Website for additional job details https://www.hb.se/en/about-ub/work-at-ub/how-to-apply-for-a-job-with-us/ Work Location(s) Number of offers available1Company
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Analytical Food Chemistry at Technical University of Munich | Freising, Bayern | Germany | 4 days ago
Biological sciences » Nutritional sciences Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 15 Apr 2026 - 23:59 (Europe/Berlin) Country Germany Type of Contract
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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description This PhD position is one of 13 positions in the Marie Skłodowska-Curie Doctoral Network
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PhD Studentship in: Water and Vegetation Driven Failure Modes on Railway Infrastructure School of Mechanical, Aerospace and Civil Engineering PhD Research Project Directly Funded Students Worldwide