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for scientific computing to support users in the process of solving increasingly complex compute- and data-intensive problems in science and engineering on high-end parallel and distributed computing platforms
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the process of solving increasingly complex compute- and data-intensive problems in science and engineering on high-end parallel and distributed computing platforms. The selected candidate will play an integral
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Science or a closely related field. • You have experience in matrix algorithms, data compression, parallel computing, optimization of advanced applications on parallel and distributed systems. • An excellent
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future position is in the Research Group Scientific Computing at the Faculty of Computer Science. The research focus of our group is on parallel computing, supercomputing, and performance tuning and
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Science or a closely related field. • You have experience in matrix algorithms, data compression, parallel computing, optimization of advanced applications on parallel and distributed systems
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renowned subject-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
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. • Knowledge of parallel computing and use of GPUs are desirable. • Supervision and teaching experience is an advantage. • Expertise in dynamical modelling and stellar spectroscopy are assets. • Presentation
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. • Knowledge of parallel computing and use of GPUs are desirable. • Supervision and teaching experience is an advantage. • Expertise in dynamical modelling and stellar spectroscopy are assets. • Presentation
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increasingly complex compute- and data-intensive problems in science and engineering on high-end parallel and distributed computing platforms. More information: https://sc.cs.univie.ac.at/ Your future tasks