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be controlled, measured, and related to the thermal and mechanical properties of the foams. Several formulations and systems will be studied in parallel to shed light on these three issues
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into the SHAREing (https://shareing-dri.github.io ) project team, working closely with the PI and other project members, the RSEs and the platforms team within ARC and realise synergies with related activity within
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? parallel computing, resource allocation, multiple threads, etc. Proficiency in configuring jobs for a parallel environment, specifically allocating adequate memory and nodes to meet specific time/budget. In
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others. Ability to coordinate with faculty, graduate and undergraduate students, and external collaborators. Preferred Qualifications: Strong background in parallel computing, parallel application design
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Position as Computational Analyst / Bioinformatician in RNA Therapeutics and Cardiometabolic Disease
for identifying protective human gain-of-function gene variants. Supporting the group with (sc/sp) RNA-seq analysis and multi omics integration. Assist with implementation of paralleled microRNA/mRNA single-cell
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of the computing infrastructure that powers both data and computer intensive research. From high-performance computing clusters and parallel storage to data management and automation tools, you’ll help shape and
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Inria, the French national research institute for the digital sciences | Saint Martin, Midi Pyrenees | France | 2 months ago
Leverage Multicore Parallelism to Achieve Scalable, Jitter-free I/O. Matthieu Dorier , Gabriel Antoniu , Franck Cappello, Marc Snir , Leigh Orf. IEEE Cluster 2012. https://inria.hal.science/hal-00715252
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), parallelization (running loop iterations in parallel), enhancing data locality by fusion, and blocking (i.e. accessing arrays in a way that improves temporal and spatial data locality). A large number of
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) Position Description: Apply Position Description The Center for High Order Plasma Turbulence Modeling for Z-Pinch (HighZ: https://highz-fic.github.io ), a Department of Energy (DOE), Predictive Science
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infections. In addition, recent advances in massively parallel cell tracking now make it possible to address long-standing questions about how bacteria have adapted to survive in unpredictable environments