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Field
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optimizing and parallelizing workflows to run on compute clusters. This position is ideal for someone who is looking to gain research experience, enhance their technical skills, or is considering graduate
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massively parallel computing resources such as NERSC and Raj cluster at Marquette. Conduct research with a significant degree of independence, working with and supervising graduate students. Provide research
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applicants are considered (with background in Computational Physics, Applied Mathematics, Biophysics, and related fields). Experience with parallel computing is a plus as well as familiarity with high-level
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the Computer Science program at New York University Abu Dhabi, seeks to recruit a research assistant to work on the intersection of compilers and deep learning. Many companies, such as Google, Facebook, and Amazon
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others. Ability to coordinate with faculty, graduate and undergraduate students, and external collaborators. Preferred Qualifications: Strong background in parallel computing, parallel application design
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[map ] Subject Areas: Mathematics; Physics; Astrophysics; High Performance Computing; Machine Learning Appl Deadline: 2025/12/15 11:59PM (posted 2025/11/20, updated 2025/11/03, listed until 2026/05/15
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or OpenMP. Experience in heterogeneous programming (i.e., GPU programming) and/or developing, debugging, and profiling massively parallel codes. Experience with using high performance computing (HPC
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differential equations. The individual must be able to immediately program in the software SFEMaNS using object-oriented Fortran 2033 and MPI. The individual must be familiar with the linear algebra parallel
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 1 month ago
Posting Description POSTDOCTORAL ASSOCIATE, Plasma Science and Fusion Center (PSFC), to join a team to conduct research in support of the newly awarded Army Research Office sponsored Program to
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with implementation of: existing algorithms and computer software for analyzing omics-based data sets [high-throughput, massively parallel genomic/proteomic/clinical.]; data management and analysis