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Field
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, the following elements will be positively evaluated: Previous experience in fully data-driven weather forecasting; Previous experience with downscaling climate data; Basic knowledge of HPC systems (e.g., SLURM
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(HPC): Experience with parallel computing (MPI, OpenMP, CUDA/HIP) or running workflows on supercomputing clusters. Software Engineering: Knowledge of version control (Git), containerization (Docker
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 4 hours ago
, including HPC, cloud computing, and data architecture Point of Contact Mikeala Eligibility Requirements Citizenship: LPR or U.S. Citizen Degree: Doctoral Degree. ORAU Pathfinder Whether you are just starting
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formats as appropriate). Analyzes and integrates multi-modal genomic datasets using computational approaches (with access to robust HPC resources). Evaluates data to plan subsequent stages of projects and
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 4 hours ago
. The agent will operate at multiple levels. Infrastructure assistance: automating cross-platform installation, dependency management, compilation, and HPC/cloud optimization. Modeling intelligence: supporting
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in programming, ideally with experience in languages commonly used in computational biology (e.g. Python, C). Experience with HPC, workflow managers (e.g. Snakemake, Nextflow), and containerization
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multidisciplinary team of scientists and High Performance Computing (HPC) engineers. In the AL/ML group, we work at the forefront of HPC to push scientific boundaries, carrying out research and development in state
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channels for LWFA. - Run and combine plasma simulation codes on national HPC platforms. - Develop multi-physics workflows by coupling different simulation tools. - Analyze and interpret simulation results
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Graph neural networks Generative models (VAEs, diffusion models) Multi-modal learning Knowledge of bioinformatics tools and data formats (FASTQ, BAM, VCF, H5AD, AnnData, Seurat, etc.). Experience with HPC
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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