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Field
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commitment to integrating AI in their scholarship and instruction and may come from any discipline. A PhD is expected prior to the start date. The Postdoctoral Scholar will serve as one of the Initiative’s AI
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in modelling and fluid dynamics simulation (COMSOL Multiphysics or equivalent) is an asset. Acquisition, processing, analysis, and interpretation of complex multi-signal experimental data
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National Institutes of Health (NIH) | National Institute of Technology, Tamil Nadu | India | 23 days ago
program focuses on understanding the genetic and molecular mechanisms underlying complex neurodegenerative diseases, including Lewy body dementia, multiple system atrophy, frontotemporal dementia, and other
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for Eukaryotic Gene Regulation. The laboratory is seeking a driven and enthusiastic postdoctoral scholar to study the structure and function of dynamic multi-subunit ATP-dependent chromatin remodeling complexes
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of nearly 160,000. The city is nestled next to the beautiful Black Hills, a region boasting breathtaking scenery, hundreds of miles of trails for outdoor enthusiasts, and attractions ranging from complex cave
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The Opportunity The University of Central Florida's (UCF) department of Industrial Engineering and Management Systems (IEMS) invites applications for two Postdoctoral Scholars to support the
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Posting Description POSTDOCTORAL ASSOCIATE, Center for Transportation & Logistics (CTL) - Intelligent Logistics Systems (ILS) Lab, will conduct independent, publishable research; contribute
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, machine learning, governance and operations, we aim to address the complex challenges and opportunities of space exploration. CfAI is a large research group in the Department of Physics at Durham University
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spatial omics, image analysis, and computational analysis of complex biological data. Work duties The main duties involved in a post-doctoral position is to conduct research. Teaching may also be included
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learning and benthic systems. This position offers an opportunity to contribute to cutting-edge research, particularly advancing the use of remote sensing datasets and machine learning for constructing