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of the largest migrant languages in the Netherlands (e.g., Turkish, Arabic, Tigrinya, Ukrainian) or motivation to learn the language at a receptive level is recommended. Our working conditions are in accordance
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observations. Your major challenge is in model development, and there is room for you to develop machine learning applications in the field of firn modelling. If successful, your work will lay the foundation
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much as possible. The Faculty of Behavioural and Social Sciences is strong in research and teaching on human behaviour, thinking, learning, and coexistence. We work on social issues and problems
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X-ray spectroscopy, methane isotopes, metagenomics and transcriptomics), combined with reactive transport modelling. Your teaching load may be up to 10% of your working time. Would you like to learn
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EGOS. For a full profile, see the attachment below the vacancy. This position has no teaching responsibilities. Would you like to learn more about what it’s like to pursue a PhD at Radboud University
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August 2025 Apply now Atmospheric science and climate change assessments often focus on winter and summer. In this fully funded PhD position you will instead study the weather of spring and autumn. Your
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written communication skills in English (CEFR C1); The ability to carry out high level research and publish in renowned peer reviewed international journals. Employment conditions and benefits We offer you
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PhD position within the project "What's wrong? Ancient corrections in Greek papyri from Egypt" (AnCo
an excellent opportunity to study the Greek language as written by non-scholarly writers in antiquity. This project will collect, annotate and study the ancient corrections in this corpus to learn more about the
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are desired. We are looking for a talented, motivated and enthusiastic researcher, with initiative and creativity. You are a naturally curious person who is eager to learn more and has a strong interest in
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. Legal systems worldwide—and particularly within the European Union (EU)—are facing urgent challenges in addressing the ethical and societal impacts of AI-driven applications and machine-learning