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in the 2025 QS World University Rankings by Subjects. We are hiring a Research Fellow in Signal Processing and Machine Learning to develop signal processing and machine learning algorithms and methods
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Details Title HMS - Postdoctoral Fellow in Health Care Policy - Statistical Methods School Harvard Medical School Department/Area Department of Health Care Policy Position Description The Department
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Details Title HMS - Postdoctoral Fellow in Health Care Policy - Statistical Methods School Harvard Medical School Department/Area Department of Health Care Policy Position Description The Department
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join a PCORI-funded project developing new methods to improve the transparency of individualized treatment effect prediction. The fellow will work under the mentorship of Dr. Alex Luedtke and collaborate
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qualifications include 1) a strong background in the development and/or analysis and/or application of numerical methods for PDEs; 2) experience in implementation of numerical methods. Candidates with interest
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 11 days ago
computational methods across the HASS community. Applied Research: Develop your own applied research agenda using the HDRH and ANU HASS community as your proving ground. Future-Focused: Explore emerging
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 8 days ago
tools and methods. Produce high-quality research outputs including computer code, digital products, workflows, design processes, and journal articles. Ensure that Indigenous perspectives are integrated
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optimization problems Develop mathematical modeling framework to find the optimal operation strategy Conduct computer programming to verify the efficiency of the designed solution algorithms Analyze data
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estimate atmospheric trace gas source-receptor relationships, or measurement “footprints”, orders of magnitude more quickly than traditional 3D simulators (https://doi.org/10.5194/egusphere-2025-2392). We
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that can estimate atmospheric trace gas source-receptor relationships, or measurement “footprints”, orders of magnitude more quickly than traditional 3D simulators (https://doi.org/10.5194/egusphere-2025