11 parallel-programming Postdoctoral positions at St Jude Children's Research Hospital
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with isolation and functional characterization of GPCRs and their signaling partners (G-proteins, arrestins, GPCR kinases, etc.) is strongly preferred. Selected Publications: Parallel stopped-flow
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Postdoctoral Research Associate - Gibson (Cell & Molecular Biology) and Skiniotis (Structural Biolog
, cryoSPARC, IMOD, Warp/M) Familiarity with scripting or programming for image analysis (Python, MATLAB, or similar) Compensation and Benefits: Among the Best Available to Postdocs Anywhere St. Jude offers
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genetics and experience in statistical and computational analyses of high-throughput omics data Ability to code in one or more scientific programming languages (e.g., R, Python, C/C++) Excellent
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, or related areas. Solid experience developing and evaluating machine-learning or statistical models. Strong programming skills in Python and/or R. Experience analyzing genomic, sequencing, or other
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microscopy, and/or imaging probe development. Familiarity with programming languages (e.g. R, Python) for data analysis Strong record of peer-reviewed publications Ability to independently design and
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imaging probe development. Familiarity with programming languages (e.g. R, Python) for data analysis Strong record of peer-reviewed publications Ability to independently design and execute experiments and
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Preferred experience: Prior experience in studying neural circuits, including familiarity with mouse genetics and viral tools Familiarity with programming languages (e.g. R, Python) and an ability to
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statistical programming, preferably in R and/or Python Strong written and oral communication skills Ability to work effectively in multidisciplinary research teams Interest in clinical trials and biomedical
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Preferred experience: Prior experience in studying neural circuits, including familiarity with mouse genetics and viral tools Familiarity with programming languages (e.g. R, Python) and an ability to
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, transcriptomic, or other high-dimensional biomedical data. Proficiency in at least one programming language commonly used in biomedical research, such as Python or R. A strong foundation in statistics, data