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for viability in these cohorts subject to high mortality rates could compensate for the low number of individuals by leaving only those of very good quality with strong phenotypic and demographic performance
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, Computer Science, or related disciplines. Knowledge and Professional Experience: · Knowledge of programming languages used in data analysis (particularly python) is strongly recommended. · High Performance
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-performance computing to deliver fast, accurate, and accessible forecasts for monitoring, reporting, and verification (MRV) of geochemical CDR. The overarching goal is to improve understanding and
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. The group will be contributing to the Physics Modeling (MC software, MC validation and Pileup modeling), the MET High-Level Trigger validation, optimization and performance studies, and to the heterogeneous
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framework (e.g., OpenFOAM, ANSYS Fluent). Solid understanding of heat and mass transfer, turbulence modeling, and reaction kinetics. Experience with high-performance computing (MPI, parallel simulations) is
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as evidenced by strong scientific publications and track record relative to career stage. Strong programming skills (Python or R) and familiarity with high-performance computing Exceptional
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infrastructure, core lab funding, and Advanced ERC grant funding Extensive collaborative opportunities with other lab members, labs, and institutes High-performance life sciences and compute infrastructure with
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for the analysis of physicochemical, morphological and/or thermal properties after LNs fabrication will be performed. The Postdoctoral Researcher will also be using routinely in vitro techniques that can be applied
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Post-Doctoral Associate in Sand Hazards and Opportunities for Resilience, Energy, and Sustainability
that spans infrastructure resilience, computational geomechanics, and data-driven risk evaluation. The successful candidate will publish in high-impact journals and contribute to proposals and
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emitting in the visible wavelength range, whose performance meets the requirements of industrial applications. The development of such high-performance fiber laser platforms requires advances in