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Field
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PhD position - Stress-testing future climate-resilient city and neighbourhood concepts (Test4Stress)
, the results of Test4Stress contribute to identify enablers and barriers for transformation towards a climate resilient city and neighbourhood. The successful PhD candidate will analyse climate simulations and
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, or simulation modeling to understand the functional roles of plant roots in agroecosystems. You have excellent communication skills and will to collaborate with researchers from different disciplines. You have
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transformation." The project will investigate the relationship between road safety and safety culture. A theory-based model of road safety culture will be developed and validated through surveys in various
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to probe metabolic states and function of control mechanisms. Analysis of strain performance and control mechanisms using computational tools (e.g., flux balance analysis, kinetic models, network component
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designs in terms of their techno-economic characteristics an optimization model is to be developed in the institutes’ inhouse modelling framework FINE (https://github.com/FZJ-IEK3-VSA/FINE) in
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Production (NBP) estimates from Terrestrial Biosphere Models (TBMs) with atmospheric transport models, the PhD candidate will also estimate how much the Cerrado and Caatinga biomes influence the carbon budget
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Performing laser shock and high-heat flux tests to simulate real fusion conditions Participating in project meetings and coordinating with interdisciplinary teams Publishing and presenting research findings in
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(CV, motivation letter, 2-3 referees and a copy of Bachelor and Master transcripts) to Elmar Schiebel (schiebel.elmar@zmbh.uni-heidelberg.de ). Mailing address: Prof. Elmar Schiebel, ZMBH, Heidelberg
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programme. Examples include stem and germ cells, biostatistics, developmental cell biology, neurosciences, and modelling and simulation of biological systems. In addition, PhD students at the DIGS-ILS have
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data Research experience with various demographic models (e.g. msprime, ABC or RELATE) Research experience in the denovo assembly and scaffolding of high-quality genomes using PacBio and Hi-C data