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structural errors, reducing manual effort from weeks to minutes thus that allowing to scale up to thousands of species per year; To build Genera , a multimodal AI system that integrates genomic and ecological
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of these metabolites. In addition, the candidate may explore the biological functions of these metabolites using preclinical models and clinical cohort data. The successful candidate also will mentor and supervise
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research for an NIH-NSF funded project on human health, movement, and infectious diseases. Successful applicants will have experience in: Either spatial analysis using GIS or disease modeling in R and/or
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thus that allowing to scale up to thousands of species per year; To build Genera , a multimodal AI system that integrates genomic and ecological data to assess extinction risk and generate actionable
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of the strongest research environments for basic plant research in Europe. Research at UPSC covers a wide range of disciplines in plant biology including ecology, computational biology, genetics, physiology
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 2 months ago
USNH Employees should apply within Workday through the Jobs Hub app The Global Ecology group at the Earth Systems Research Center, University of New Hampshire (UNH), has an immediate opening for a
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computational models in pandemic science. These models can be applied in any relevant field! Sociology, Computer Science, Psychology, Game Theory, Immunology, Physics, and/or Ecology. Yes! Any/all of them! We
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on computers, standing, lifting 10 lbs. A well-qualified candidate for this position will also possess: PhD in Biology, Microbiology, Molecular Biology, Biochemistry. Research experience in model eukaryotic
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communities using model and non-model organisms. The individual is required to use tools in chemical ecology, genomics, molecular biology, and AI-driven predictive modeling in the research project. Specific
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Position Description Postdoctoral Associate, Psychology College of Human Ecology, Cornell University This postdoctoral position is funded by an R01 grant (1R01AG082954-01) from the National