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machine learning approaches with large-scale biological data to automate genome curation by detecting, interpreting, and correcting structural errors, reducing manual effort from weeks to minutes thus
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that combines modern machine learning approaches with large-scale biological data to automate genome curation by detecting, interpreting, and correcting structural errors, reducing manual effort from weeks
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(Investigating how climate change may increase risk of zoonotic spillover by changing human and wildlife movement, stress, and behavior). This position requires a PhD in ecology, disease ecology, epidemiology
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. Applicants must have experience in the handling and organization of large data sets. Familiarity with analysis of panel or longitudinal data and working with multilevel models is valued. Additional skills with
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include designing and executing experiments to interrogate host-microbe interactions, analyzing and interpreting microbiome sequencing and/or metabolomics data, developing novel computational or analytical
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negotiable; the position has a duration of one-year with options for renewal. Position expected start date in June 2026. The successful candidate will have expertise in the data sciences with software
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their impact on gene expression. Contribute to large-scale modeling of engineered traits to predict performance and optimize design. Required Qualifications: PhD in the field of genomics, evolution, population
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efforts in AI or other related topics. Applicants must have experience in the handling and organization of large data sets. Familiarity with analysis of panel or longitudinal data and working with
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(the Million Tutoring Moves [MTM] dataset), along with open-source applications that support data processing and analysis grounded in Responsible AI principles. A core part of the NTO’s mission is to develop
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, United States of America [map ] Subject Areas: Microbiology / Microbiome Data Science / Data Analysis Molecular Biology Biochemistry Salary Range: $62,232 to $88,745 Appl Deadline: (posted 2026/03/23 04:00 AM