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. Optimizations include vectorization (using hardware vector instructions), parallelization (running loop iterations in parallel), enhancing data locality by fusion, and blocking (i.e. accessing arrays in a way
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prosthesis with these brain-machine interfaces (Ferrand et al. 2025). In parallel, we have identified strategies to deliver somatosensory information to subjects through direct cortical stimulation (Lassagne
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Proven experience with multiple parallel programming paradigms, including but not limited to; MPI, OpenMP, and CUDA (Compute Unified Device Architecture) Experience in a batch HPC environment with a
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assemble in infected cells and selectively package their RNA genomes. More information about the lab and their work can be found by visiting https://www.hhmi.umbc.edu . About the Postdoctoral Scientist role
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Description The SoftCPS Laboratory (https://www.isep.ipp.pt/softcps/ ), a research unit of the School of Engineering of the Polytechnic Institute of Porto (ISEP) and part of the INESC TEC HumanISE Center, is
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their research in one eligible host laboratory at Nantes University : ITX-lab: https://umr1087.univ-nantes.fr CR2TI: https://cr2ti.univ-nantes.fr CRCI2NA: https://crci2na.univ-nantes.fr RMeS: https://rmes.univ
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field from an accredited institution. Demonstrated skills in creative problem solving and troubleshooting Experience with parallel computing and multi-core \ multi-threaded programming libraries Knowledge
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process in parallel with the public advertisement of the role. Longlisted candidates will be invited to interview with Perrett Laver in March and the Selection Panel will subsequently meet to decide upon a
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/C++, Fortran, and/or Python Proven experience with multiple parallel programming paradigms, including but not limited to; MPI, OpenMP, and CUDA (Compute Unified Device Architecture) Experience in a
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materials according to the Lambert–Beer law, thus enabling an accurate description of PEC device behavior. In parallel, the coupling between kMC and CFD simulations will be achieved through machine learning