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Field
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- experience in programming (e.g. Matlab and/or Python) - experience in fieldwork - proficiency in scientific writing - skills in communicating with people who have different backgrounds Your workplace
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project suits applicants with strong quantitative skills, an aptitude for coding, and an interest in textual analysis, large language models and computational methods. Previous experience in Python/Matlab
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Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | about 1 month ago
Python. Knowledge of a distributed computation framework is a plus. The candidate should be proficient in English. Knowing French is not necessary, as daily communication in the team is mostly in English
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programming (R or Python). Advantageous: geostatistics, digital soil mapping, remote sensing, GIS, big data or cloud tools. Proactive working style, strong communication skills, and excellent English. Relevant
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laboratory work (DNA extraction, PCR, sequencing workflows) Bioinformatics and statistical analysis (e.g., R or Python) Biodiversity assessment or ecological community analysis Fieldwork experience in
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. The candidate should ideally have experience or interest in one or several of the following areas: A solid foundation in programming and system development, particularly using Python and machine learning
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modeling Programming skills in Python and machine learning packages such as PyTorch and TensorFlow Scientific curiosity and critical thinking Ability to work in interdisciplinary environments Motivation
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. Requirements Masters degree in physics (grade of "good" or better). Experience in scientific programming (e. g., Python, Julia). Interest in experimental physics. Good command of English (that will be
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or above. Fluent oral and written communication skills in English. Programming skills in R, Python, or similar are essential. Previous experience with meta-analysis is desirable but not essential. Previous
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statistical and mathematical modelling of infectious diseases. You have experience with scientific programming (e.g. in R, Python) If you have experience with the research topic, this is a plus. You have