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this position is to work on active projects to generate data for publications and to also generate data for external funding. The prospective candidate should be willing to work in a collaborative
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position is to work on active projects to generate data for publications and to also generate data for external funding. The prospective candidate should be willing to work in a collaborative environment
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objective of ATMRI is to support research and innovation in air traffic management. ATMRI focuses on developing practical and data-driven solutions for complex aviation systems, in close collaboration
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https://www.ntu.edu.sg/mse/research . We are looking for a Research Fellow to work under the Principal Investigator to support research work for engineering sporopollenin-based drug delivery and cell
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https://www.ntu.edu.sg/mse/research . The Translational Materials Innovation Group (TMIG), led by Professor Nam-Joon Cho, is a world-leading multidisciplinary research group with expertise in biomimetic
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objective of ATMRI is to support research and innovation in air traffic management. ATMRI focuses on developing practical and data-driven solutions for complex aviation systems, in close collaboration
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graduate students in data analysis and research design Participating in collaborative, interdisciplinary research initiatives The successful candidate will be expected to work independently while
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Scientists contribute throughout the development cycle from Phase 1 to IND submission. They are data-driven, scientific leaders of programs in the clinical stage, with key responsibilities in clinical
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of the emergence of pathogens at human-animal interface including influenza and tick-borne viruses, and advanced bioinformatic data analysis—specifically involving microbiome, virome, and
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King Abdullah University of Science and Technology | Saudi Arabia, | Saudi Arabia | about 15 hours ago
usually attributed to the limitations in our measurements and in the underlying physical models. Machine learning (ML) techniques can be exploited to identify common patterns in the data and augment the