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computing. The role involves close collaboration with leading fabrication partners (e.g., GlobalFoundries, AIM Photonics), participation in multi-project wafer (MPW) tapeouts, and system-level experimental
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Job Title Postdoctoral Research Associate Agency Texas A&M University Health Science Center Department Neuroscience & Experimental Therapeutics Proposed Minimum Salary $4,166.67 monthly Job Location
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limited to alignment, coverage quantification, differential coverage statistics, and multi-omic integration About the lab and St. Jude: Recognized for state-of-the-art computational infrastructure, well
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research team. Our work focuses on craniofacial regeneration and distraction osteogenesis, using cutting-edge multi-omic approaches (single-cell and spatial transcriptomics, genetic and biochemical analysis
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for high-impact, multidisciplinary research. Position Description We invite applications for a postdoctoral researcher to advance the multi-scale durability modeling of self-compacting concrete (SCC
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The Royal Veterinary College, University of London; | Potters Bar, England | United Kingdom | 3 months ago
Interview Date: Friday 26 September 2025 We are looking for a skilled and motivated Post Doctoral Research Associate to join the Structure and Motion Laboratory, a multi-disciplinary research group
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influenced later testing of multi-antenna devices in 4G and 5G radios. The group is well known for its strong relationship with industry and experimentally based research, which is enabled by world top-notch
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Structure and Motion Laboratory, a multi-disciplinary research group investigating different aspects of animal structure and movement. The post holder will join Professor Richard Bomphrey’s research group
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of computing and healthcare. Methodologies of interest include: Multi-modal learning Foundation models, including large language models Agentic AI Multi-agent AI systems Transfer learning Self-supervised
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the NeuroGenomics and Informatics Center at WashU. We are dedicated to generating and analyzing whole-genome sequencing data along with high-throughput, multi-dimensional 'omics' data to advance our understanding