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In line with a key commitment in the University strategic plan to "increase community engagement", the University has a strong history in creating opportunities for students to enhance applied
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computing frameworks (e.g., MPI, NCCL) and model parallelism techniques. Proficiency in C++/CUDA programming for GPU acceleration. Experience in optimizing deep learning models for inference (e.g., using
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of important problems). Desired: Extensive experience in parallel programming with MPI, OpenMP, C/C++, Python; experience working with data management and I/O libraries; experience as PI or co-PI on research
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the programming and testing of a robotic fabrication facility to produce lung organoids with a large throughput. The robot needs to be programmed to grab and place multi-well plates, the pipetting of media in and
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About the division/school: The Mastercard Foundation Climate Resilience and Sustainability Program is a flagship partnership between the University of Cambridge and the Mastercard Foundation
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of the MPhil/PhD programme. The successful candidate will be expected to enrol on a full-time research degree and maintain satisfactory academic progress in parallel with their GTA duties. In return, you will
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such data; hands-on experience in scaling up and/or parallelizing codes on HPC systems using languages such as e.g., C/C++, Fortran, Python; solid knowledge of parallel programming models (e.g., MPI, OpenMP
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. Experience using MST-based KKR Green’s function methods to calculate structural magnetic, electronic and stability properties of alloys and compounds. Experience with programming FORTRAN modules. Experience
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The University of Luxembourg is seeking a passionate and entrepreneurial Research Engineer to join a cutting-edge applied research initiative funded by the FNR JUMP programme at the SnT research
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About the division/school: The Mastercard Foundation Climate Resilience and Sustainability Program is a flagship partnership between the University of Cambridge and the Mastercard Foundation