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foundations of economic decision-making, using behavioral experiments and computational modeling. The program is especially interested in research that explores parallels between the cognitive mechanisms
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computing software libraries (e.g., Trilinos, MFEM, PETSc, MOOSE). Experience with shared and distributed memory parallel programming models such as OpenMP and MPI. Experience with one more GPU or performance
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University. Dr. Cheng Peng invites applications for a postdoctoral position supported by a Laboratory Directed Research and Development (LDRD) program. This appointment spans a 2-year timeframe. The
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funded by the NOAA Global Ocean Monitoring and Observing (GOMO) program. The primary objective of this role is to undertake a comprehensive investigation to quantify the impact of various ocean
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in GPU programming one or more parallel computing models, including SYCL, CUDA, HIP, or OpenMP Experience with scientific computing and software development on HPC systems Ability to conduct
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computational approaches, including in vivo Massively Parallel Reporter Assays (MPRAs), to define the sequence basis and functional consequences of enhancer activity and to expand MPRA-based approaches to other
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system control and simulation including turbulence compensation Awareness of high-fidelity flow simulation methods, actuator-disc methods, and turbulence modeling approaches Experience with parallel
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Postdoctoral Research Associate - Hybrid Computational-Experimental Scientist in Bacterial Drug Resp
. • Is motivated to develop new methods and biological insights in parallel. Especially Excited If You Have • Experience with bacterial genetics, functional genomics, or drug-response assays. • Familiarity
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neurons using multi-omics, cis-regulatory variants will be mapped onto these enhancers and then their function determined by Massively Parallel Reporter Assays (MPRA). The research will involve stem cell
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computing (HPC) and parallel processing to enable the analysis of massive datasets. Experience in advanced statistical inference (e.g., Bayesian statistics, spectral methods) for extracting robust patterns