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), the CLLE laboratory is recruiting a postdoctoral researcher in quantitative syntax and corpus linguistics Scientific background One of the aims of current work in quantitative and experimental syntax is to
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imaging modalities. Technical skills: Python, Java, C++, AI libraries (Tensorflow, PyTorch) Written and oral synthesis skills Language skills: English (read, written, spoken), French language desired
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post-processing and visualisation. Proficiency in at least one programming language. In addition, preference will be given to candidates who have: - experience in developing parallel numerical codes
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of selective adsorption of pollutants. In order to develop the skills needed to become an accomplished researcher, complementary training will be offered to the fellows: language courses (English, French) and
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. KNIME, Pipeline Pilot, or Jupyter notebooks) and a programming or scripting language (e.g. python or similar) is a plus Good organizational skills: dealing with multiple projects, setting priorities, and
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of the interpretation algorithm. These developments will be made in Python programming language and possibly with some compiled pieces of code in C++. Documentation, management, and publication of the code will be
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fit our team. The language used in the lab can be french or english. Additional Information Work Location(s) Number of offers available1Company/InstituteUniversité de
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of the statistical software R, and at least basic knowledge in one other programming language (Python, …) and database management system.• Experience with real, multivariate data analysis and biological data would be
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French National Institute for Agriculture, Food, and Environment (INRAE), Jouy-en-Josas | France | about 1 month ago
based on the most recent deep learning approaches that train language models using few or no training examples by transfer learning or exploiting existing structured information, i.e. knowledge bases and
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French National Institute for Agriculture, Food, and Environment (INRAE) | France | about 1 month ago
analysis.•Computational skills: R (preferred) or any other language suitable for data analysis.•Curiosity, Creativity and Autonomy.•Critical and independent mind.•Self-driven personality able to work both