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, materials, components, and products that is being developed in parallel within the project team. It quantifies how process and recycling yields depend on composition and makes that knowledge usable
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processes, system features and functionalities as indicated. *Develop and determine system specifications, including timelines and functional specifications, translate specifications into programming
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, computational science, or closely related). Relevant coursework (examples): Computational physics/scientific computing and numerical methods for PDEs High‑performance computing (parallel distributed
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: Algorithms and computer software for omics-based data sets [high-throughput, massively parallel genomic/proteomic/clinical.] Data management and analysis solutions that aid in the storage, investigation, and
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with high-performance computing, GPU programming, parallel programming, cloud computing, and/or related methods including running numerical simulations of complex workflows. Demonstrated technical
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whole institution. At the Faculty of Electrical and Computer Engineering, Institute of Circuits and Systems (IEE) , the Chair of Highly-Parallel VLSI Systems and Neuro-Microelectronics offers a project
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( https://haicinstitute.org/) is a 5-year (2026-2031), $21.5 million, multi-institutional research initiative supported by the National Science Foundation. HAIC brings together researchers and partners
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earlier. The applicant must have a strong scientific background with relevant expertise in cell and/or molecular biology. Interest in programming, computational biology and statistic towards high
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Parallel numerical algorithms GPU computing Strong programming skills are very important. Experience with C/C++, Python, Julia, MATLAB, CUDA, or a comparable scientific-computing environment is desirable
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parallel genomic/proteomic/clinical]. Develops computer programs to meet the needs of data collection, quality control, analysis, and report generation. Maintains database structure by updating