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values rest on credibility, trust and security. By having the courage to think freely and innovate, our actions together, large and small, contribute to a better world. We look forward to receiving your
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National Institutes of Health (NIH) | National Institute of Technology, Tamil Nadu | India | 22 days ago
lead and contribute to innovative research projects involving large-scale genomic and multi-omic data analysis in neurodegenerative diseases. The fellow will be expected to: Perform computational
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society at large. The research subject Human Work Science at Luleå University of Technology is seeking a postdoctoral researcher to join an engaging research environment focused on the work environment
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23 Sep 2026 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Engineering » Maritime engineering Engineering » Mechanical engineering Researcher Profile
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population genomic analyses of crop species Experience managing and analyzing large-scale biological datasets Experience using SLURM-based high-performance computing systems Demonstrated proficiency in R
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. Experience with conjoint analysis (e.g., discrete choice experiments and best-worst scaling), experience with large scale survey and retail data, portfolio in substance use or other health-related areas, and
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-performance computing, particularly in the theory of efficient string and data structures, sequence indexing, and large-scale data analysis. Experience with the Burrows–Wheeler transform, pattern matching, and
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18 Sep 2026 Job Information Organisation/Company KTH Royal Institute of Technology Research Field Computer science » Other Economics » Other Engineering » Control engineering Engineering » Systems
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, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn’t imagine the future, we invent it. If you’re passionate about joining a community that challenges the
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of real-world evidence using large real-world data sources, including data from the ongoing prospective cohort study (DREAM cohort). The successful candidate will have expertise in epidemiologic research