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Inria, the French national research institute for the digital sciences | Villers-lès-Nancy, Lorraine | France | 12 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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manager (https://www.ludc.lu.se/resources/ludc-bioinformatics-unit). The Unit provides bioinformatics, biostatistics, and computational support to anyone affiliated with LUDC, as well as access to a high
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Inria, the French national research institute for the digital sciences | Paris, Kentucky | United States | 11 days ago
, and Morin has shown how this can distort dialectal conclusions. However, no study has yet measured this distortion on a controlled parallel corpus. This postdoctoral position is designed to produce
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mechanics, friction laws, and nonlinear material behavior. Proficiency in C/C++ programming language. Experience working in Linux-based high-performance computing environments. Record of publishing peer
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counsel Master’s students in their exercises, work placement and Master’s dissertation. You will counsel doctoral students. You will participate in multiple parallel projects, including performing DFT
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higher education with an enrollment of approximately 5,000 students in occupational/technical programs and university-parallel/college transfer programs. Central Virginia Community College ( CVCC
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students, postdoctoral researchers, and international partners, therefore the candidate is expected to be multitasking as projects will progress in parallel. Active participation in other ongoing projects
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energy-system modelling, mathematical optimization, control, digital twins, or related areas. Strong programming and numerical modelling skills using Python, MATLAB/Simulink, Julia, hardware in the loop
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healthcare, The key objective is to spearheadresearch and development to revolutionise patient care and inform public health policies. For more details, please view https://www.ntu.edu.sg/c-aim We are seeking
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medical image processing, excellent Python programming skills, and prior experience training and evaluating neural network models (e.g. in PyTorch). Familiarity with biomechanics or finite-element