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stereochemical control, and materials fabrication and characterization to develop next-generation precursors for high-performance carbon fibers. Specific to this position, the successful candidate will focus
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. This position offers the opportunity to lead impactful research at the interface of aging biology, neurodegeneration, and spatial omics. The successful candidate will contribute to high-profile projects
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to work) in reduced order modeling, Causal inference and High Performance Computing are desirable. We particularly encourage applicants with expertise in Multi-scale Modeling, Evolutionary Computation
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capable of predicting key performance indicators, including cell potential, gas purity, Faradaic efficiency and degradation behaviour. You will work closely with project partners across Europe to validate
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Experience in working with large geospatial datasets (e.g., ERA5, CMIP6, Sentinel, MODIS) Working with complex models and high performance computing, ideally dynamic global vegetation models (DGVMs
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, geotechnical laboratory testing, and complementary numerical simulations to improve understanding of soil behavior and geotechnical system performance for infrastructure, energy, and sustainability applications
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governing LCI at steel grain boundaries and the inhibitory role of silicon in copper-contaminated steels. As a postdoctoral researcher, you will: Perform molecular dynamics (MD) simulations to obtain atomic
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materials for photonics devices? The high-performance optically active materials (OAMs) are desirable for many applications. However, the current OAMs still have some critical issues to be resolved
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projects aiming to dissect the role of lipid metabolism in environment-induced cardiorespiratory diseases. The main duty included performing sample analysis using HPLC and HPLC-MS-MS, conducting data
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; length of the term will be discussed during the interview process. Continuation past the term length discussed will be based on university need, performance, and/or availability of funding. POSITION