162 parallel-and-distributed-computing-phd-"Multiple" Fellowship positions at National University of Singapore in Singapore
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Job Description Job Alerts Link Apply now Job Title: Research Fellow (Time Synchronization of Distributed Radar Sensors) Posting Start Date: 02/05/2025 Job Description: Job Description For a project
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and experience are encouraged to apply: Minimum of five (5) years of project/programme management experience with the ability to juggle and complete multiple projects with diverse stakeholders
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Job Description Job Alerts Link Apply now Job Title: Research Fellow (Computational Materials Science) Posting Start Date: 16/07/2025 Job Description: Job Description A postdoc position is available
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requirements: PhD Degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field, obtained within the last five year Research Experience in one or more of the following
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of infectious diseases. • Experience with data analysis using statistical inference techniques. • Experience with health economic evaluations. • Experience with parallel and/or high-performance computing
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Job Description Job Alerts Link Apply now Job Title: Research Fellow (theoretical computation) Posting Start Date: 10/06/2025 Job Description: Job Description A postdoc position is available in
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Job Description Job Alerts Link Apply now Job Title: Research Fellow, Computational Biologist Posting Start Date: 20/05/2025 Job Description: Job Description The focus of Professor Patani’s lab is
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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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requirements.- Maintain comprehensive documentation for audit and review purposes. Requirements - PhD in Science, Engineering, Business, or a related discipline; Masters' qualification may be considered on a
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multiple geographies to meet project objectives and deadlines Manage project timelines, budgets, and resources efficiently Adapt and scale laboratory operations in response to evolving project needs and