1,519 programming-"Multiple"-"U"-"Prof"-"U.S"-"Humboldt-Stiftung-Foundation" PhD positions
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the “Dialling up Performance for on Demand Manufacturing” Programme Grant, which will place the student within an active and supportive team of 9 other PhD students, 15 postdoctoral researchers, 18 world-leading
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in the SPG. We will make use of models of different complexity up to complex Earth System models, and modelling efforts for different past periods. A personalised training programme will be set up
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%, limited for 3 years, start: as soon as possible) in the trilateral program “Future Proofing Plants to a Changing Climate” (funded by DFG, UKRI-BBSRC, NSF, USDA-NIFA) Who we are: The research group Symbiosis
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will provide experience with new and advanced 3D-printing equipment not available elsewhere. This project is aligned with the “Dialling up Performance for on Demand Manufacturing” Programme Grant, which
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), and will provide experience with new and advanced 3D-printing equipment not available elsewhere. This project is aligned with the “Dialling up Performance for on Demand Manufacturing” Programme Grant
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Laboratory), and will provide experience with new and advanced 3D-printing equipment not available elsewhere. This project is aligned with the “Dialling up Performance for on Demand Manufacturing” Programme
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the Comprehensive Cancer Center at the Ohio State University. Research Focus: The Guo laboratory focuses on cancer metabolism, signal transduction, autophagy, and miRNA across multiple cancer types, including brain
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programming language, in addition to ImageJ. Ability to multitask projects effectively, prioritize, and follow through to completion. Excellent written and verbal communication skills. Proficiency with computer
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in research Prepare and conduct interviews with key informants (including all communications prior to and following the interviews) Analyse interview data in collaboration with the research team Plan
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, potential toxicity and ubiquitous abundance in the environment. Understanding and evaluating their emission pathways is essential to plan and implement effective measures to reduce emission of PFASs. In