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Job Description Job Responsibilities -Conduct molecular dynamic (MD) simulations of the interactions of biological toxins including alpha-toxin, pyocyanin, and pyoverdine with clay natural and modified
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of the microbiome in olfaction using mouse models. The selected applicant will join the vibrant and friendly Tucker lab and work as part of a team interacting with the group of Prof Mike Curtis. The postdoc will
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systems (e.g., Snakemake, Nextflow, or equivalent) Prior experience with interactive data visualization frameworks Experience analyzing spatial transcriptomics data (e.g. 10x Visium, image-based) Experience
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of the microbiome in olfaction using mouse models. The selected applicant will join the vibrant and friendly Tucker lab and work as part of a team interacting with the group of Prof Mike Curtis. The postdoc will
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to decipher the role of sex hormones in host-microbiome interactions in the human oral mucosa. The project revolves around tissue modeling on host-pathogens interactions, multi-omics data analysis, and
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candidate will be part of a diverse team of experimentalists, theoreticians and biostatisticians that studies thalamocortical interactions in different brain models (tree shrew, macaque, human neurotypical
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Visual Compliance to perform RPS, which involves a review of government lists to ensure that the university is not interacting with a person or entity who is on a restricted, blocked, unverified
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of the microbiome in olfaction using mouse models. The selected applicant will join the vibrant and friendly Tucker lab and work as part of a team interacting with the group of Prof Mike Curtis. The Tucker and Curtis
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involved in or lead major projects to understand the genetic architecture of molecular traits alone and in interaction with the environment. S(h)e will help in defining the direction of scientific work
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on work from across the humanities, social sciences, and sciences. We will engage with an interdisciplinary array of critical scholarship, as well as works of literature, film, visual art, and performance