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Field
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/ Knowledge Graph Representation / Recommender Systems Graph Theory/Network Science Python, and up-to-date machine learning libraries Excellent written and verbal communication skills Track record of publishing
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field, expertise in AI/ML (e.g., PyTorch, TensorFlow, Python), interest in materials applications, and a strong publication record. The position is for two years, with the possibility of renewal, subject
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development, particularly in LabVIEW, C++ and Python programming for high-precision measurement systems. As a key member of our team, you will lead the development and optimization of our high-speed
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source and an infrared laser test bench. Script development in Python and C++ will be necessary to control ASIC parameters, to automate data collection and to record data for analysis (Python, ROOT). He
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programming languages such as C/C++, MATLAB, or Python. A strong publication record is an advantage. What We Offer The appointment will commence as soon as possible on a temporary basis for 1 year, with
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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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, artificial intelligence, computer vision, robotics, UAVs, etc. is a plus. Other preferred qualifications include: expertise in programming and coding (preferably using Python and C++) and GUI development
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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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considered a strong advantage. Proficiency in statistical programming languages such as Python, R, is expected, as is the ability to work with complex clinical datasets and handle missing data thoughtfully
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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