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Field
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Postdoc (f/m/d) Methods Development for the Micromechanical Characterization and Modeling of the ...
characterization and modeling tools that different materials-development projects across the MAP can draw on. We explicitly welcome your own methodological ideas and priorities — whether that means microstructure
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researchers from around the world are tackling global issues and making a difference to people's lives. We believe that inspiring our people to do outstanding things at Durham enables Durham people to do
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | 2 months ago
: rather than developing individual materials ourselves, our focus is on building, validating, and providing the micromechanical characterization and modeling tools that different materials-development
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researcher, you will play a central role in this ambitious programme and act as a technological integrator across multiple research tracks. You will work closely with three PhD candidates focusing on different
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involved in two different projects both related to fertility. In the first, you will contribute to the project “Understanding fertility outcomes by quantifying the (un)predictable”. In particular, you will
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to generate waves with representative tsunami wavelengths. The experiments involved the simulation of tsunami of different form and wavelengths propagating along the flume, running up a beach and interacting
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industrial giants like Hengtong, Haier, and Bond Tech to create a complete value chain from theoretical innovation to industrial application. RESEARCH AREAS Currently, we are seeking candidates from different
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of the heat transfer in permafrost soil under different climate-induced temperature scenarios, including the impact of snow coverage, shrubbery and fire. Another topic is related to the identification of soil
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: R, Python, QGIS. You demonstrate : • autonomy, • organizational skills, • rigor, • ease in communication, • strong capacity for synthesis. Finally, you are comfortable with project follow-up and the
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atmospheric datasets using programming languages such as Python, MATLAB or R. Experience with atmospheric data processing, quality assurance and statistical analysis. A strong publication record of peer