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will design and conduct independent experiments within the scope of the NIH-funded project; maintain accurate experimental records and analyze data rigorously; work collaboratively with investigators in
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for Computational Sciences. They will collaborate with leading computer and computational scientists at ORNL and external collaborators in the development and application of new computational techniques specifically
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Genetics. This is an exceptional opportunity for an accomplished scientist and academic leader to guide one of UNT Health's most collaborative and research-intensive departments at a time of remarkable
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that can be repurposed for viruses with pandemic potential. This includes working closely with computer scientists to utilize published “omics” datasets and machine learning approaches to identify FDA
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, scientists, and industry stakeholders through exceptional education, groundbreaking research, and world-class clinical and diagnostic services. Every day, we work to elevate animal health, enhance productivity
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make a difference in the world! Position Information Texas A&M AgriLife Research at Temple is seeking a highly motivated scientist with expertise in crop modeling, remote sensing, and geospatial
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of computational scientists, applied mathematicians, and computer scientists to link models and algorithms with high-performance computing. Author peer reviewed papers for internal and external release as
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23 Jul 2026 Job Information Organisation/Company RIKEN Department Administrative Support Office Research Field Pharmacological sciences Anthropology Biological sciences Medical sciences Technology
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National Institutes of Health (NIH) | National Institute of Technology, Tamil Nadu | India | 22 days ago
, proteomics, and functional genomic analyses. Fellowship description: We are searching for an enthusiastic, collaborative, and intellectually curious scientist to join our team. The successful candidate will
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clinical data. A major focus of the position will be identifying genomic and immunologic features associated with variation in immune responses and clinically relevant phenotypes. A Ph.D. or equivalent