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and education in artificial intelligence, specifically focusing on natural language processing, computational linguistics, and data science. The main lab research areas are Arabic natural language
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research findings. About you You will have: PhD (or near submission) in computational biology, machine learning, computer science, statistics or a related quantitative discipline. Experience developing and
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treatment optimization • Biomedical knowledge graphs and network medicine • Translational data science for therapeutic discovery Primary Responsibilities: The Postdoctoral Research Associate is expected to
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Cambridge, Massachusetts, POSTDOCTORAL ASSOCIATE , Center for Sustainability Science & Strategy, to join an international team of scientists working as part of the global AGAGE network and a large
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Posting Description POSTDOCTORAL ASSOCIATE , Center for Sustainability Science & Strategy, to join an international team of scientists working as part of the global AGAGE network and a large
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Leibniz-Institut für Analytische Wissenschaften – ISAS – e.V. | Dortmund, Nordrhein-Westfalen | Germany | about 2 months ago
regulations. Further information on data protection and the processing of personal data can be found at: https://www.isas.de/en/datenschutz . The closing date for applications is August 19, 2026
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 8 hours ago
, Bioinformatics, Data Science, Pharmaceutical Sciences, Computer Science, Regulatory Science, or related fields. Required Qualifications, Competencies, and Experience - Strong publication record in relevant
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well as to allow video information to be shared for both marketing, analytics and editorial purposes. By accepting optional cookies, you consent to the processing of your personal data - including
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: Applicants must hold a Ph.D. in nutrition, epidemiology, public health, data science, sustainability science, or a related field at the time appointment begins (September 10, 2026). Experience working with
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candidate will develop and apply cutting-edge remote sensing or photogrammetry methods, in combination with data science approaches such as machine learning and data assimilation via cryospheric models