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<span lang="en">TUD Dresden University of Technology</span> | Dresden, Sachsen | Germany | about 4 hours ago
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At the Faculty of Electrical and Computer Engineering, Institute of Circuits and Systems, the Chair of Highly-Parallel VLSI Systems and Neuro
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(IEE) , the Chair of Highly-Parallel VLSI Systems and Neuro-Microelectronics offers a project position as Research Associate (m/f/x) Physics- and Quantum-Inspired Computing on the SpiNNaker2
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Inria, the French national research institute for the digital sciences | Villers-lès-Nancy, Lorraine | France | 10 days ago
-10505 Requirements Skills/Qualifications The candidate must have a background in at least one of the fields relevant to theoretical quantum computing: computer science, physics, or mathematics
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whole institution. At the Faculty of Electrical and Computer Engineering, Institute of Circuits and Systems (IEE) , the Chair of Highly-Parallel VLSI Systems and Neuro-Microelectronics offers a project
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NTNU Norwegian University of Science and Technology | Trondheim, Sor-Trondelag | Norway | 24 days ago
Vitroscope AS in collaboration with SINTEF and NTNU. The project aims to develop an AI-enabled automated platform capable of operating and monitoring 96 parallel cell-culture experiments under precisely
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learning, high-performance and parallel computing, or scientific simulation; Effective oral and written communication skills; Ability to work well independently as well as in a collaborative team
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Requirements Demonstrated expertise in software and algorithm development, computational methods, data analysis, modeling, machine learning, high-performance and parallel computing, or scientific
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pipelines for reproducible, efficient and scalable training and inference on parallel, distributed and GPU-accelerated computing systems Benchmark the developed approaches against established methods
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, or TORQUE. Experience with Singularity, Docker, or other container technologies. Knowledge of parallel computing techniques, including multithreading and Message Passing Interface (MPI). Experience
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engineering topics and encourages interdisciplinary inspiration and potential research collaboration. Parallel Sessions Session 1: Electronic Information Engineering Electronic and Information