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The expert will participate in the necessary methodological developments and analyses of airborne data recorded by the IAGOS research infrastructure (https://www.iagos.org ) and from other networks, to provide
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and biology - Good interpersonal skills (enthusiasm for research), able to work independently as well as in a team, taking initiatives - Good command of English (involving good communication skills
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a Master's degree in polymer chemistry, physical chemistry, or materials science. The position requires good oral and written communication skills (English level B2). We are looking for a candidate (M
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specialist of the sociology of Wikipedia and a senior data engineer from the Wikimedia Foundation. Candidates (M/F) should hold a Master's degree in Theoretical Physics and/or Complex systems, and have a good
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new thermoelectric materials using data science and machine learning methods applied to materials, based on expert-reviewed experimental data from the literature and public databases (notably
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Additional Information Eligibility criteria - PhD. in Archaeology; - Experience in Islamic archaeology of the Near East and the Arabian Peninsula ; - Good knowledge of site recording and documentation methods
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science, computer science, applied mathematics We expect a candidate with a strong background in physics and/or machine learning. The candidate must also be proficient in high-level languages like Python
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. Anastasia Bolotnikova, an expert in Human–Robot Interaction with a strong international track record in the field, and co-supervised by Dr. Aurélie Clodic, an expert in Human–Robot Interaction and knowledge
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robots enable tremendous automation and scalability opportunities, new productivity, usability and maintainability challenges have also emerged. Typically experts create data analysis pipelines and robot
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protocol design and analysis. Prior experience with MEG or EEG is a plus. Good command of scientific English (oral/written). • Qualities: Autonomy, appetite for interdisciplinary work, organizational skills