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Field
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, computer science, machine learning, or natural language processing, focusing on AI for Social Good or similar. Excellent written and spoken English is required, since the project is carried out in an international
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Department: Medicine | School Biomed Sci - Biomedical Informatics This Post Doctoral Scholar will be responsible for conducting natural language processing research in pharmaco-informatics, and leading and
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Heidelberg University is a comprehensive university with a strong focus on research and international standards. With around 32,200 students and 9,540 employees, including numerous top researchers
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technology and natural sciences at a high international level. The university has 3100 employees and 10,000 students, and offers education in engineering, science, shipping and architecture. With scientific
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of management studies. The department has a lively, international research community with numerous doctoral students and post-doctoral researchers from several countries. The working language at the department is
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to acquire, download, manage, and synthesise large geospatial datasets from diverse sources. Proven ability to publish at a high international level. Excellent written and oral communication skills in English
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to colleagues and proactive. You possess excellent written and oral English communication skills. You are willing to participate actively in the intellectual life of the Radboud Center for Natural Philosophy
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information about the position, please contact [email protected] For further information about the application procedure, please contact HR ([email protected] ) International applicants International
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Max Planck Institute of Animal Behavior, Radolfzell / Konstanz | Konstanz, Baden W rttemberg | Germany | 2 days ago
Job Code: 174 Job Offer from September 09, 2026 The Max Planck Institute of Animal Behavior at its sites in Konstanz and Radolfzell offers an international, interdisciplinary, and cooperative
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in using natural language processing (NLP) methods on large-scale text data. Candidates with substantial experience in NLP and text-based analysis will be particularly well suited to the project