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the modelling project and a parallel experimental project, focused on measuring particle generation in silicon wafers is therefore essential. Section Mechanics of Materials You will work in the section
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systems. https://g2elab.grenoble-inp.fr/ Activities Simulate different scenarios Integrate the model Evaluate the results obtained Present the state of the art to initiate the work Collaborate with
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at the time of application. More about selection criteria and the process can be found in the general syllabus for the subject, see https://mau.se/en/research/doctoral-studies/https://mau.se/forskning
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work closely with the broader university community to advance Rutgers’ missions of teaching, research, and service. For more information, please visit https://it.rutgers.edu. Posting Summary Rutgers
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 2 months ago
of the compute resource needs of scientific computing applications, particularly large-scale parallel applications. A high level of understanding of and experience in IT security in Unix/Linux environments
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functionalities to enable these features. In parallel of this work, the retained physicist will be able to start or continue researches on different science topics, for galactic or extragalactic objects
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approaches in a coherent framework. Rather than treating these disciplines in parallel, Brown PPE emphasizes methodological integration — reconnecting traditions that once addressed questions of justice
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for large EO datasets and workflows Lead performance engineering (parallelization, optimization, benchmarking) for adaptation and inference at scale Work closely with industry partners and public agencies
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assessment service, conducting performance assessments and benchmarking case studies, and helping codes to transition into the era of accelerate compute. You will be embedded into the SHAREing (https
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mathematics or equivalent competence. Your degree must be completed by the time of employment. Strong practical skills in C++ software development. Experience with parallel programming for multicore CPUs, GPUs