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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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. 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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Inria, the French national research institute for the digital sciences | Paris 15, le de France | France | about 4 hours ago
experience in programming in Python and use of relevant architectures, software, and libraries, such as HyPyP - used for analyzing random pairs and therefore IBS. The successful candidate must be able work in
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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: 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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within the previous five years and a minimum of two years of academic research experience in a related field; competency in python, MATLAB or some alternative will be considered. PREFERRED: A strong
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. Experience with at-sea data collection. Experience with zooplankton sampling or underwater acoustics. Programming experience in R, Matlab, Python, or other statistical languages. Preferred Qualifications: Ph.D