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analysis with spatial data to assess cascading supply chain risks and other systemic effects, supported where relevant by system dynamics modelling. Second, the PhD candidate will develop models to assess
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currently offers the following PhD project within its S&E research programme at ERIM: o PhD in Strategic Management or Entrepreneurship , deadline 30 April! More information about the Full-time PhD in
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, Dr Aafke Schipper, and one PhD candidate, and also collaborate with the PhD candidates and postdoctoral researchers of WP1 and WP2. Your work will be theory- and data-driven, contributing to both
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PhD position in AI and Human Centered Decision Making Faculty: Faculty of Science Department: Department of Information and Computing Sciences Hours per week: 36 to 40 Application deadline: 5
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molecular analysis. In this project, you will work closely together with a PhD student, post-doctoral fellow, another research assistant, a dietician, technician and clinician. The Department of Human Biology
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Wetsus - European centre of excellence for sustainable water technology | Netherlands | about 1 month ago
pipes in the subsurface. Innovation opportunities lie in combining physics-based knowledge with AI-assisted data analysis and data fusion techniques. By integrating multiple data sources and sensor
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? Join an interdisciplinary PhD project that uses large-scale viral genome and epidemiological data to develop predictive theory for rapidly evolving viruses. You will work at the interface of theoretical
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opportunities for personal development, teamwork, and presenting your work at national and international conferences. Hybrid working is possible for tasks such as data analysis and writing. Your role As a PhD
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PhD Position in Statistical Physics & Data-Driven Viral Evolution Faculty: Faculty of Science Department: Department of Physics Hours per week: 36 to 40 Application deadline: 23 April 2026 Apply
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causal inference, machine learning, text analysis, or large-scale data integration. You support ODISSEI users via consultations and collaborative research, train researchers through workshops, and mentor