263 parallel-programming-"Multiple"-"Simons-Foundation" Fellowship positions in Singapore
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parallel clusters Integrate existing physical models into new software infrastructure for EOS research Benchmark against existing methods and support reproducible, open-science practices Collaborate closely
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Strong foundation in CFD, Programming proficiency such as Python, AI/ML techniques, Experience with parallel computing on CPU/GPU cluster, use of CUDA, MPI is a plus. Experience Experience with open-source
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Medical School. In August 2024, we welcomed our first intake of the NTU MBBS programme, that has been recently enhanced to include themes like precision medicine and Artificial Intelligence (AI) in
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for coordinating the delivery of our education programmes, managing cross-functional workstreams that enable effective research and education programme execution across the Centre, and contributing
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research that covers the energy value chain from generation to innovative end-use solutions, motivated by industrialisation and deployment. ERI@N has multiple Interdisciplinary Research Programmes which
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presentation of data to relevant stakeholders Generating conference presentations and papers for submission to peer reviewed journals Collaborating across teams, contributing to multiple research projects
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The Translational Materials Innovation Group, led by Professor Nam-Joon Cho, has world-leading expertise in multiple research areas, such as membrane-active compounds, antibacterial and antiviral
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capacity around Water and Sanitation in low- and middle-income settings across Southeast Asia. This position offers a unique opportunity to contribute to field-based public health research and program
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for multiple-CPU and/or GPU platforms via parallelization schemes. Validating these codes via canonical and real-world examples. Job Requirements: PhD in Electrical and Electronic Engineering, Applied
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researcher in natural language processing and large language models to work with a team from multiple disciplines of machine learning and artificial intelligence to develop multimodal large language models