-
Function The Dillon Lab explores the role of animal-source foods in sustainable food systems. Our work elucidates how system structure mediates sustainability outcomes from management change and policy
-
sustainable food systems. We work to elucidate how system structure mediates sustainability outcomes from management change or policy implementation. Our applied work consists of modeling and field-based
-
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
-
sustainable food systems. We work to elucidate how system structure mediates sustainability outcomes from management change or policy implementation. Our applied work consists of modeling and field-based
-
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 to minutes
-
approaches to characterize microbial community structure and function, working with graduate students, manuscript preparation and the potential to follow up on observations in research models depending
-
interpreting microbiome sequencing and/or metabolomics data, developing novel computational or analytical approaches to characterize microbial community structure and function, working with graduate students
-
, and socially meaningful scholarship. Required Qualifications: Applicant must have a PhD in psychology, human development, quantitative psychology, or a related area. Strong background/interests in
-
part of a stimulating, collaborative environment that values rigorous, innovative, and socially meaningful scholarship. Required Qualifications: Applicant must have a PhD in psychology, human development
-
space exploration and life in extreme environments. The Santomartino Lab is committed to supporting the Postdoctoral Associate’s career advancement. The PI will provide structured mentorship, regular