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processing, while maintaining high efficiency and selectivity in flotation performance. Responsibilities: Develop and synthesize bio-based flotation additives (e.g., collectors, dispersants, depressants
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RNA-seq, ATAC-seq, and ChIP-seq. Experience in working with high-performance computing environment. Experience in data management and developing data-processing pipelines. Proficiency in programming
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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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, 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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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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. 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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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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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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, Computer Science, or a closely related field. Experience in at least one of the following areas: FPGA programming (VHDL/Verilog, HLS) Pixel detectors in high-energy physics or radiation detection
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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