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motivation to learn, cryo-EM data collection, image processing, and 3D structural analysis. Prior experience with cryo-EM single-particle analysis (SPA) and/or cryo-electron tomography (cryo-ET) is a strong
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: This PhD project will develop model- and data-driven hybrid machine learning material models that capture the complex, nonlinear, path- and history-dependent behaviour of materials. The goal is to create
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localised economic gains. These contrasting findings highlight the current uncertainty surrounding the specific impacts of AMOC weakening on human societies. In this PhD project, you will use models and data
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scientific programming and numerical / statistical analysis of simulated and observed data. Candidates should be able to demonstrate motivation and a strong eagerness to learn, and have the ability to both
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Organisation Job description This fully funded PhD at the University of Groningen (NL) is an independent research project titled Where Rivers Speak and Landscapes Remember. The selected candidate
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spaces are inclusive, resilient, and sustainable? Then you might be the ideal PhD candidate to join our interdisciplinary team at Wageningen University & Research! We are looking for a highly motivated PhD
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with stakeholders and field measurements where necessary; Integrate empirical data analysis including ecological, sociological and economic parameters into a synthesis of the effectiveness of freshwater
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committee. Currently, IMAU employs 18 faculty members and 11 support staff and about 21 Postdocs and 24 PhD candidates, and offers a friendly, open and international atmosphere. More information If you have
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Vacancies PhD Position: Advancing Kinematic Couplings for Precision Alignment Applications Key takeaways The challenge This PhD research focuses on the advanced design and analysis of kinematic
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PhD candidates will be jointly responsible for designing and setting up the studies, recruiting participants, acquiring and analysing data, and publishing the results in peer-reviewed journals. You will