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with edge computing or embedded systems (e.g., NVIDIA Jetson, Raspberry Pi) Background in real-time processing and GPU acceleration (CUDA) Participation in relevant competitions (e.g., Kaggle, computer
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. Additional languages or experience with libraries for utilizing GPU hardware efficiently, e.g., CUDA, are a plus. Experience in AI programming with, e.g., PyTorch(-DDP), Horovod, or DeepSpeed, and in
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Systems {LIMS); Eclipse IDE; SG E, PBS or other batch job schedulers; Relational Database Management Systems {RDBMS) and SQL programming; Message Passing Interface {MPI) programming; CUDA/OpenCL/G PU
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not mandatory, expertise in quantum platform software such as Qiskit or cuda-q. *Numerical expertise with classical simulations of quantum circuits, including tensor-network based approaches
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of the Balearic Islands (UIB) Where to apply Website https://ppi.uib.eu/ Requirements Research FieldPhysicsEducation LevelBachelor Degree or equivalent Skills/Qualifications A Degree in Physics, Mathematics
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for quantum entanglement and decoherence. Desired, though not mandatory, expertise in quantum platform software such as Qiskit or cuda-q. Numerical expertise with classical simulations of quantum circuits
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schools in the world. For more details, please view https://www.ntu.edu.sg/mae/research . We are seeking a Research Associate to develop a high-fidelity Artificial Intelligence (AI) framework for modeling
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Sensing) Programming skills: Python, CUDA, C++ Strong motivation and commitment to research, teaching and administration The successful candidate will be expected to work effectively in a team environment
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/C++, Fortran, and/or Python Proven experience with multiple parallel programming paradigms, including but not limited to; MPI, OpenMP, and CUDA (Compute Unified Device Architecture) Experience in a
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frameworks, e.g., Caffe, TensorFlow, PyTorch, and GPU-acceleration frameworks, e.g., CUDA will be a plus. Outstanding SW development and programming skills in C++, Python, ROS tools and libraries. Excellent