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the Warsaw University of Technology/the Centre for Advanced Materials and Technologies, CEZAMAT | Poland | about 4 hours ago
Technologies, CEZAMAT Research Field Computer science » Modelling tools Computer science » Programming Engineering » Electronic engineering Engineering » Materials engineering Engineering » Simulation
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times through higher parallelization and enable targeted stimulation of hardware faults by adjusting the models. To this end, a simulation environment based on a virtual prototype will be developed using
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) of numerous NASA Heliophysics missions and Space Flight Instruments, including a $750M mission that launches this year. The Laboratory Manager will report directly to the PI in parallel with the Executive
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programme. Class sizes of the tutorials are between 12 and 17 students and student attendance is mandatory. Tutorials, therefore, require an active involvement of each student. As a tutor, you will deliver
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targeting large-scale computational resources that involves numerical methods, parallel algorithms, inter-process communication and synchronization, and at least one traditional high performance computing
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project management skills, and the ability to prioritise work, work to deadlines and undertake multiple parallel projects Demonstrated ability to identify, assess, test and evaluate technical applications
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| Computer Science and Engineering Initiates and leads research and development in the areas of data management systems for high performance computing (HPC), parallel computing systems; collaborates with
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Energy! This role Directs and manages the University’s Utilities and Energy operations, including the Energy Management program. Why Should YOU Choose Auburn University? Auburn University was named a “Best
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, excursions) Global geo-/paleomagnetic field modelling expertise is advantageous Strong programming skills, preferably in Fortran, Python and/or Matlab, parallel programming Experience in international
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international team studying human aging and pathology using computational and molecular methods. Our group develops computational methods for the analysis of large-scale biological datasets, including spatial