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rapid and significant shifts in power consumption, next-generation high-performance computing (HPC) platforms used in machine learning, big data and artificial intelligence (AI) based applications (CPUs
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documentation. Data management & computational reproducibility. Experience with data pipelines, version control (e.g., GitHub), reproducible workflows, and cloud or HPC environments. Additional Information: In
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, Conda, HPC-type computing clusters, etc.), as well as interfacing tools applied to genomics operating systems (workflow engine). Interpersonal skills ● Language skills: very good level of English and
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Inria, the French national research institute for the digital sciences | Toulouse, Midi Pyrenees | France | 22 days ago
. Learn and train on CODA software and its environment, namely development environment (IDE, debugger), pre/post-processing tools, mesh generation, AIRBUS HPC environment. Set-up and simulate simple
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to define and drive your own research directions within the project scope, publish and present your findings at top-tier systems and HPC venues, develop and maintain open-source software, contribute
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HPC clusters. Experience of modern computational statistical methodologies, such as Markov chain Monte Carlo, rejection sampling, sequential Monte Carlo, would be highly desirable. Attributes and
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. Bioinformatics: Comparative genome analysis, detection of selection, and functional genomics, phylogenetics. Computational skills: UNIX/Linux, HPC computing, and programming in R and Python. You will gain hands
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, and cloud or HPC environments. Additional Information: In keeping with its access, excellence, and impact mission, The University of Texas at El Paso is committed to an open, diverse, and inclusive
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visualization. Expertise in data processing and analysis using HPC and Galaxy platform and familiarity with widely used, and field standard software, webtools and packages, including HISAT2, Salmon, Rsubred
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into concrete tractable problems you can solve. Be equally passionate about rigorous mathematical reasoning and hands-on Python implementation (PyTorch, JAX, …) in HPC environments. Communicate clearly in English