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to the team’s research, including being involved in the analysis and dissemination data and mentoring other trainees in the lab on related projects. The position provides ample opportunities for publication and
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cancer models Experience with single-cell/single-nucleus genomics and spatial transcriptomics Computational analysis skills in R and/or Python A record of first-author publication To apply: Please send a
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cover letter describing research interests, previous experience in in vivo two-photon imaging and data analysis. Contact information for three references who can comment on research experience and
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construction, data harmonization, statistical analysis, and reporting. Mentoring and professional development The postdoctoral associate will participate in regular one-to-one meetings with the PI, weekly
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human genetics and/or statistics, including knowledge of genomewide methods, such as GWAS and post-GWAS analysis, and comfort with bioinformatics. This is highly collaborative work, so the candidate
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clinical contexts. Training emphasizes the integration of experimental design, computational analysis, and translational relevance. Personalized mentorship will be tailored to each trainee’s career goals and
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use drugs. The job entails field work and data analysis components. A successful candidate will be responsible assisting Dr. Heimer in organizing community-based drug checking in five Connecticut
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Data, or related field Proficiency in Python, and experience with data analysis To Apply: Please send a cover letter, CV/Resumé, and 2-3 references to [email protected] , with the subject line
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, including spatial transcriptomics In vivo imaging of neural circuit deficits in zebrafish Pharmaco-behavioral profiling to identify pharmacological candidates Key responsibilities Analysis of molecular
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, data collection, data analysis, manuscript preparation, grant writing, scientific presentation, and overall career development. The post-doctoral associate will be expected to lead projects and