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excellent research combining statistical analysis, computational social science, formal modelling, and data-driven methods. Areas of particular interest include the quantitative study of geopolitical and
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in data science methods-including large-scale behavioral datasets, algorithmic auditing, machine learning, and reproducible data pipelines-alongside traditional research methods like surveys and
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(https://www.fct.pt/wp-content/uploads/2026/03/Tabela-de-Valores-SMM-2026.pdf ), the amount of the monthly maintenance allowance is € 1.090,98, being the payment method by Wire Transfer. Selection methods
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application. Selection process Selection methods: The selection method will comprise curriculum evaluation, with optional interview for clarification. The curriculum evaluation (0-20 points) will assess
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be based in the Department of Computer Science and the National Centre for Text Mining. Develop biomedical NLP methods for mechanism extraction Design and implement methods for extracting biomedical
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schools in the world. For more details, please view https://www.ntu.edu.sg/mae/research . Perform research on Industrial AI, develop novel AI methods, prepare Project and Project requirements. Represent
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
, scholarship, service, and creativity. DSS’s vision is to be a leader in shaping the field of data science through an interdisciplinary and rigorous grounding in theory and methods with a human centric approach
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economics, management, mathematics, or a related field. Specific requirements: Candidates must also have knowledge/research experience in the following areas: Quantitative methods (e.g., game theory
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methods, provides the ideal environment for research on programming with formal guarantees — a topic of increasing practical importance. About us The Department of Computer Science and Engineering , a joint
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structural systems and ULS / SLS design concepts Experience in structural dynamics and/or vibration analysis is an added asset Familiarity with finite element modelling (e.g. ABAQUS) and probabilistic methods