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present. Although methods exist to balance early diagnosis benefits and false positive risks for single disease tests, such methods are not available for multi-disease tests. In the MERIT project, we will
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; formally interfacing with internal and external stakeholders (including the European Commission and Member States) on matters under your responsibility, providing information, preparing formal reports and
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2026 Apply now We are looking for an Assistant Professor in Statistics and Social Data Science for the department of Methods & Statistics at Utrecht University. As an Assistant Professor you are involved
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from a programmatic perspective; participating in reviews in your areas of responsibility as Project Controller; ensuring that all project changes are formally verified, analysed, presented
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with members from both these universities, and you will participate in joined activities. You will be based at the University of Twente, in the Formal Methods and Tools group, where the EVI members focus
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the department of Methods & Statistics at Utrecht University. As an Assistant Professor you are involved in teaching and research activities, and as a core member of the ODISSEI Social Data Science (SoDa) team
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a deeply synergistic endeavor: foundational AI research on methods that can accelerate scientific discovery, where domain insights from the natural sciences drive the development of better AI. We seek
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to the intensional paradoxes. The project is highly interdisciplinary and brings together methods and techniques from philosophy, logic and linguistics. PhD 1 will be conducting research within the Property work
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and with societal stakeholders to achieve real-world impact. You will also participate in joint training programmes on interdisciplinary and transdisciplinary research methods, citizen engagement, and
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, collaborating across disciplines and with societal stakeholders to achieve real-world impact. You will also participate in joint training programmes on interdisciplinary and transdisciplinary research methods