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conducting high-quality numerical work and high-fidelity simulations. This 36-month KTP includes a £6,000 training budget with 10% of your time dedicated to your personal development. You will have access to a
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numerical analyses and material characterization), laboratory testing and data analysis towards validation and upscaling, as well as system-level investigations towards commercialization. The latter
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insurance, generous paid leave and retirement programs. To learn more about USC benefits, access the "Working at USC" section on the Applicant Portal at https://uscjobs.sc.edu. Position Description Advertised
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to assess the realism of IPSL climate model regarding air-sea carbon exchanges - Application of these diagnostics to a set of numerical simulations to quantify improvements in C-cycle in the new IPSL climate
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, Banacha 2, 02-097 Warsaw. Employee benefits: access to professional development, social benefits, and training opportunities. More information: https://en.bsp.uw.edu.pl/researchers/ Basic responsibilities
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at the frontline of the rapid developing field of spatial omics. Opportunities for professional development and career advancement. A collaborative work environment with numerous partners. Access to state-of-the-art
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analysis), code development, and numerical simulations. Access to high-performance computing facilities and datasets from laboratory experiments will be provided to support simulation and verification
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environmental physics affects larval actions Develop robust APIs for community access Required Qualifications Essential: Strong background in finite element methods and numerical simulation Proficiency in Python
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engineering, in the areas of building and civil engineering, from the perspective of experimental analysis and with solid numerical support. Accreditation as a Collaborative Centre requires specific support and
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(exceptional points, bound states in the continuum, etc.). He/She will in charge of the design of the corresponding photonic structures. To this end, he/she will conduct design/simulation campaigns using not