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Qualifications PhD in public health or related field obtained within the last five years. Proven ability to thrive in a collaborative, mixed-methods research environment. Strong personal motivation, self
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of research methodologies, systematic reviews, and syntheses Formal education/training in quantitative research methods and statistical analysis Excellent written and verbal communication skills, including
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Experience with both qualitative and quantitative research methods Strong oral communication skills Ability to work independently as well as part of a team Experience with statistical software (e.g., SPSS
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methods to diagnose and monitor childhood cancers. This may include the use of ultra-rapid RNA-sequencing for real-time diagnostics and analysis of circulating nucleic acids to monitor drug resistance
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work closely with experimental collaborators to translate computational methods into operational autonomous experimentation pipelines and to publish methodological and system-level advances. Candidate We
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: Our group developed a new method, smol-seq, that uses DNA sequencing to measure metabolites and drugs. This harnesses the incredible power of DNA sequencing for metabolomics. It also allows metabolomics
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tools that enable biological discovery in cancer, regenerative medicine, and neuroscience. The Postdoctoral Fellow will work closely with experimental collaborators to apply these methods to real
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and companies in the area of gene editing and drug delivery. Qualifications PhD in biomedical engineering, pharmaceutical sciences, biochemistry, or a related field with relevant experience (obtained
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statistical analyses, with a focus on ion channel targets. Candidates must have a PhD in neuroscience, biophysics or pharmacology. The candidate will have expertise in whole cell patch clamp of native cells and
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research projects focused on brain connectivity. Conduct quantitative brain imaging analyses. Keep up-to-date on the literature in this field, methodologies and software analyses programs Foster research