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. Preferred: Integration of wet lab findings with computational analysis of multi-omic data (e.g., structural variants, transcriptomics) using R or Python pipelines. Mentoring and Professional Development
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programming (e.g. Python, R, JavaScript, Matlab) preferred but not required Compensation The salary for this trainee position is $45,600 per year. Process to Apply Interested applicants should submit
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-omic data integration. Computational skills for data analysis (e.g., Python/R, workflow tools, and reproducible research practices). Prior work related to neurodevelopmental disorders, regulatory
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fitting, parameter estimation, and model comparison Proficiency in at least one scientific programming language (e.g., Python, MATLAB, R) Demonstrated ability to work independently while collaborating
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RStudio, Git/Github, Matlab, Stata, bash/tcsh, Python, JavaScript or Visual Basic, is preferred, but not required Process to Apply: This is a 1-year position, preferably with a 1-year renewal. Please send
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, neuroimmune, or cardiometabolic research Programming experience in R, Python, or related languages is a plus Environment and Training The Alagpulinsa Lab provides a highly supportive and intellectually rigorous
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, with opportunities for R or Python) Study design and analytic methods (cross-sectional, longitudinal, quasi-experimental designs) Manuscript preparation and scientific writing Data management and
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/reconstruction, and interpretation of electrophysiological data, as well as proficiency with relevant computational tools and programming environments (e.g., Brainstorm, MNE, Python, MATLAB) and integration of MEG
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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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; prior coding experience (e.g., Python, MATLAB, or similar) is a desirable plus but not strictly required. Experience with mouse surgery is highly desirable. Track record of productivity, independence, and