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Field
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Sensing, or related field Experience in atmospheric modeling, satellite remote sensing, or machine learning Programming skills (Python or R) Strong publication record
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the ability to perform reasoning and generate novel insights from the represented data. Candidates should be proficient in Python, and ideally have some expertise in one or more of the following areas: digital
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programming language, such as R or Python Experience with atmospheric circulation classifications Active knowledge of the English language Specific Requirements Job description: Development of a methodology for
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sensing. are essential as well as strong computing skills, including the knowledge of UNIX/Linux, Fortran, Python, or other high-level languages. The post is full time and fixed term for 18 months
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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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. 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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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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biomedical or engineering sciences and a strong affinity with movement and rehabilitation sciences. You are proficient in programming in Matlab and, if possible, Python. You have experience in using 3D motion
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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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; 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