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geologic media As for programming, we prefer familiarity with MATLAB, Python, and C++. Prior experience with high-performance computing (HPC) clusters and Unix operating systems is advantageous. We welcome
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will play a pivotal role in advancing research in artificial intelligence (AI), energy-efficient computing, foundational mathematical models, high-performance computing (HPC), dimensionality reduction
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/interest with or prior experience working with NGS algorithms such as PLINK, or experience working in a cloud computing environment or UNIX/linux/HPC cluster. Department Contact for Questions Dr. Bohdan
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, Python, Bash, and other programming languages for data analysis and statistical modeling. Automated Workflows Experience: Proficient in using HPC, Git/GitHub, Nextflow, Snakemake, or Docker for efficient
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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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. Familiarity working with publicly available genomics data and working in high-performance computing (HPC) and/or UNIX environments is a plus. Highly motivated, able to creatively take initiative to see your
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, Matlab Preferred Qualifications: Experience in thermos-fluids in porous media. Experience in High-Performance Computing (HPC) on CPU or GPU platforms. Experience in mentoring of graduate and undergraduate
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via HPC. · Strong writing, communication, and interpersonal skills, including a proven ability to work both independently and as part of a team. Special Conditions Posting Date 12/06/2023 Closing Date
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, and optimize for energy efficiency HPC applications and high performance data stream analytics workloads. Use of novel accelerator designs, and automatic methods to model/predict how performance would
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engineering team to translate the models into production. The successful candidate will be part of a cross-lab, highly inter-disciplinary team of experts in ML, applied math, HPC, signal processing