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                Employer- Royal Netherlands Academy of Arts and Sciences (KNAW)
- Maastricht University (UM)
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- Delft University of Technology (TU Delft); yesterday published
- Leiden University; Leiden
- Maastricht University (UM); Maastricht
- Maastricht University (UM); yesterday published
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                to protect AI models against data leakage during inter-departmental information sharing. With the National Police heavily relying on sensitive data exchanges, this research will develop secure machine learning 
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                : Developing a research plan, taking into consideration ethics and data management procedures of the Faculty; Literature review of published sources including Italian or Turkish language, as relevant; Archival 
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                , workshops, and collaborative writing projects. The tasks include: Developing a research plan, taking into consideration ethics and data management procedures of the Faculty; Literature review of published 
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                of the web as a decentralized media platform, extending through to our contemporary moment, as news industries wrestle with the role of AI technologies. You will be asked to: - Develop your own research 
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                internationally recognized research centre and gain valuable research experience at a top-ranked European university. As a PhD candidate, you will develop your own research project in consultation with 
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                of the web as a decentralized media platform, extending through to our contemporary moment, as news industries wrestle with the role of AI technologies. You will be asked to: Develop your own research project 
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                interested in artificial intelligence and machine learning, and do you want to develop new mathematics with a positive impact? The stochastics group of the Korteweg-de Vries Institute for Mathematics 
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                University, you will develop innovative methods to make geographic data smarter and more question-aware, contributing directly to the future of spatial reasoning and sustainability. Your job Answering 
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                ), ecological processes (primary productivity and decomposition rates), and greenhouse gases (3D-printed flux chambers), and investigating how we can use citizen science-driven data streams for model development 
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                Intelligence (AI) and machine learning (ML) techniques. You will develop AI-based predictive models to anticipate user engagement, primarily using data collected through unobtrusive measurements (e.g., websites