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following areas: Machine Learning, Deep Learning, Reinforcement Learning, Data Mining; Programming; Parallel programming and High-Performance; Computing; Scientific computing, Numerical methods, and Numerical
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programming (Fortran and C/C++) and performance optimization Knowledge of parallel programming paradigms such as MPI, OpenMP, OpenACC or equivalent technologies Experience with large-scale scientific software
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(IoT) Computer networks Computer Architecture Computer Science for Accounting & Finance Computer Science for Marketing Parallel Computing (including Algorithms) Computational Intelligence (Evolutionary
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research tower, and the Interdisciplinary Health Sciences Center. In parallel, the department is extending its reach through new ambulatory care centers in New Albany, Dublin, and Powell, alongside
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of programming languages, parallel processing, optimization and compilation. Participation in relevant conferences in the field of commercial computer science. Experience in teaching, including English language
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CeMM - Research Center for Molecular Medicine of the Austrian Academy of Sciences | Austria | 3 months ago
), and parallel computing; Strong experience with containerization and virtualization technologies for scientific workloads (VMware, KVM, Docker, Apptainer); Familiarity with machine learning frameworks
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software on HPC systems. Familiarity with performance analysis and compiler optimization techniques. Experience with distributed and parallel computing technologies such as MPI and OpenMP. Experience with
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occupational/technical programs and university-parallel/college transfer programs. Computer Science adjuncts in addition to the requirements outlined below should be familiar with modern development language
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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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administration software (e.g. utilities, libraries, plugins) Experience with parallel file systems (e.g. Lustre, GPFS) Experience in high performance computing (HPC) environment. Experience with configuration