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of the project (patents, communications, outreach). Conducting in vivo optical imaging experiments on healthy and patient volunteers; Developing image-analysis pipelines (Python, MATLAB) and modeling functional
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data analysis. Record of scholarly publications and scientific communication skills Proficiency in statistical and data analysis tools (e.g., MATLAB, Python, R). Preferred Qualifications: Experience with
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. lithography, ICP etching, PECVD deposition, diffusion, etc.); in-depth knowledge of plasma etching; expertise in data management and processing, and associated programming experience (e.g. Python, MATLAB, etc
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studying neural circuits Familiarity with programming languages (e.g. R, Python) and an ability to work with large datasets Strong record of peer-reviewed publications Ability to independently design and
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experience: Python, MATLAB, SPSS, Shell. Experience in working with Linux workstation. Excellent organizational and time-management skills and ability to self-direct work. Ability to work as a team member
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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | about 5 hours ago
and modelers to use the optical constants in the analysis of observational data from, e.g., Hubble, Spitzer, JWST. Candidates are expected to be proficient doing data reduction and analysis using Python
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 4 days ago
modelling, and/or gene-environment interaction studies would be beneficial but not required. Prior training and experience with R or Python, manuscript and grant writing, project management, and ability
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and programming skills (R and Python) is preferred. Record of peer-reviewed publications. Knowledge in one or more of the following areas is desirable: single-cell profiling technologies, spatial omics
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; experience with Python, FastAPI, Swagger or other backend development tools; familiarity with database technologies (Dynamo DB or Influx DB), and deployment practices including both traditional server
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, experience with Linux shell-based bioinformatics tools, and basic programming skills (e.g. Python) are essential. Experience with metabolome analyses and natural product biosyntheses will be a plus. The DSMZ