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supports excellence in multidisciplinary marine research, education, and policy development. THE DEPARTMENT The COS department is one of the four research departments of NIOZ. COS integrates state-of-the art
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will generate synthetic data from personal data to mitigate scarcity in rare diseases. This will facilitate data availability for further development of predictive models, thereby enhancing the quality
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market using data available on online recruiting platforms, deploying state-of-the-art approaches in Natural Language Processing, Semantic Web, and Agent-based Modeling. For this purpose, an extensive
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market using data available on online recruiting platforms, deploying state-of-the-art approaches in Natural Language Processing, Semantic Web, and Agent-based Modeling. For this purpose, an extensive
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: The applications must be exclusively submitted through the web page of this opening https://sigarra.up.pt/fcup/pt/CNT_CAND_GERAL.CONCURSOS_LIST nº574 2026/2, within 10 working days after publication in DR
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during the interview on a technical or scientific topic and must be equal to or exceed level B2. Definitions of levels can be found at the following link https://www.coe.int/en/web/common-european
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processes with an emphasis on terrestrial ecosystems Development of observational techniques to monitor and assess biogeochemical feedbacks in the Earth system Theory and model development for improving
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successful candidate will be coordinating patient samples and developing testing methods to quantify large scale bulk mechanics in blood clots both plasma and whole blood. The final salary offer may be
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your teaching skills and for personal development. For more information about our PhD program, please visit our information page. We offer fully financed positions to our doctoral students who receive
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development Outstanding knowledge of empirical social research methods Advanced competence in statistical methods and computer programs for analysis of quantitative and qualitative empirical data (e. g. SPSS