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courses about parallel computing, computer architecture, programming models and high performance computing. These are your qualifications: Must-haves: • Completed doctoral/PhD studies in Computer
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or distributed computing Experience with GPU/CUDA, C and C++ programming Working knowledge of OpenCL, OpenACC, Python, MPI Preferred Qualifications PhD in Physics, Biophysics, Computer Science, Engineering
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), Dedicated HPC solvers (domain decomposition, parallel/distributed computing), Formulation and solution of optimisation problems (automation, optimal structural design). The developments will follow open
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architectures, distributed computing, high performance and parallel computing, ethical and sustainable computing, artificial intelligence. The journal will also explore opportunities in emerging and
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background in computer systems includes, but is not limited to, operating systems, networks, embedded systems, parallel or distributed systems, internet of things, or cyberphysical systems. Successful
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Education and Experience Preferred Qualifications: PhD in Computer Science, engineering, science, Mathematics, Data Science or similar quantitative subject areas. Expert knowledge of HPC systems, best
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Doctoral/PhD degree in astronomy/astrophysics with affinity for programming, or in computer science/applied mathematics with affinity for astronomy/astrophysics. • You can demonstrate excellent abilities
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Computer Science or a closely related discipline. Strong research background in computer systems includes, but is not limited to, operating systems, networks, embedded systems, parallel or distributed
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Doctoral/PhD degree in astronomy/astrophysics with affinity for programming, or in computer science/applied mathematics with affinity for astronomy/astrophysics. • You can demonstrate excellent abilities
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-relevant media are a strong plus. Very good organizational skills are highly desirable. Knowledge of parallel computing and use of GPUs are desirable. Supervision and teaching experience is an advantage