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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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to submitting your application, please review and update (if necessary) the information in your candidate profile as it will transfer to your application. Job Title: Physician - Department of Radiology, Program
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became the youngest and fastest university in the world to achieve QS 5 stars, earning 5 stars in 9 categories: global engagement, good governance, program strength, academic development, teaching
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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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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 | 2 months ago
the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Head of IT Infrastructure & Scientific
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, climate science, atmospheric science, or related computational research environments. Technical Skills and Knowledge: Strong programming skills in Python and/or C++. Experience with AI/ML frameworks such as
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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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Description The Modern Compilers Lab in 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
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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