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, or a related field with substantial expertise in data science/AI methods Strong publication record in relevant areas Demonstrated ability to work across disciplinary boundaries Strong analytical skills
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largest academic research institute in Europe specialising in all aspects of ICT (Information and Communication Technologies). It is home to over 200 researchers with expertise in all communication and
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spectroscopic data analysis. This role forms part of a larger research effort exploring advanced polymer processing techniques and data driven methods to improve material performance and manufacturing efficiency
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background in hydrology, numerical/analytical modeling, programming, and data management/analytics is needed to support existing and forthcoming projects in the BEG hydro group. Purpose We are seeking highly
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biological science subject High level analytical capability Ability to communicate complex information clearly Full working knowledge of informatic environments including R Extensive experience and fluency in analysis
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Science, Computer Science, Astronomy, Astrophysics, or a related quantitative discipline. • Skills: - Strong analytical and computational skills in data science, statistical analysis, or machine learning
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. The ideal applicant will demonstrate strong analytical skills, a proven publication record, and the ability to communicate complex scientific information effectively. You’ll work with state-of-the-art
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written communication skills in English, including the ability to communicate with clarity on complex information. Excellent communication skills in Chinese is a plus. High analytical ability to analyze and
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health, Epidemiology, Data Science/Analytics, Psychology, or other related disciplines • Minimum 3 years of research experience, preferably in program evaluation, public health or applied social science
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to develop and execute their own projects. Responsibilities The fellow will play a collaborative and leadership role in project design, study implementation, analysis, survey construction, data collection