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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
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teach at the university level in one or more of the following areas: Programming, Algorithms and computational complexity, Programming languages and compilers, Computer graphics, and Parallel and GPU
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Inria, the French national research institute for the digital sciences | Villers-lès-Nancy, Lorraine | France | 10 days ago
optimising quantum computations and developing efficient quantum error-correcting codes. Different approaches to implementing quantum computations are being pursued in parallel. The most widely-used approach
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coursework (examples): Computational physics/scientific computing and numerical methods for PDEs High‑performance computing (parallel distributed programming, GPU programming) Astrophysical fluid dynamics