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properties (including structural, defect, electronic, ion transport, surfaces) and will link up with parallel experimental activities. Applicants should have a PhD in chemistry, physics or materials science
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of Computer Science. The research focus of our group is on parallel computing, supercomputing, and performance tuning and optimization of advanced applications. Our team currently consists of 10 scientific and 3
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | about 1 month ago
. The use case is a electrical substation implementing a process bus architecture conformal with IEC 61850 specifications. This includes redundant PRP (Parallel Reduncdancy Protocol) network architectures
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
: https://www.dpi.nc.gov/districts-schools/district-operations/financial-and-business-services/compensation-public-school-employees. Proposed Start Date 02/01/2026 Position Information Be a Tar Heel
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, parallel storage systems and scientific data management. Recent research project details and outcomes can be found in computer systems conference proceedings, such as HPCA, FAST, SC, DSN, HPDC, IPDPS, and
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-scale foundation models, especially pipeline/model parallelism. Track record of creating HPC software for numerical methods. Domain expertise in areas like computational fluid dynamics, material
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? Then join our accomplished team! Where to apply Website https://iventajobdata.eu/bestmedia/img/2142907/1851185/cl/7ebcf6e8951fe67d155c6… Requirements Specific Requirements Your personal sphere
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or life sciences, computer science or related field; PhD preferred Two (2) years to three years of experience in developing parallel computing applications, libraries or software tools working with
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engineered 3D hydrogels, we will experimentally probe the mechanical forces and physical constraints that drive coordinated cell behavior. In parallel, we will develop and apply computational models and
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preclinical mouse models and stool samples collected from patients with myeloma. In parallel, the project will explore how these changes impact immune cell populations and responses to infection. To do