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Field
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-oriented research to identify and translate core features of DIEs into design principles. Performing multi-case analysis of existing DIEs (e.g. SmartAgriHubs, FutureFoods, 4Growth) to assess organizational
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stressors. This transition reflects the need to acknowledge not just environmental factors but also the socio-economic and cultural contexts that shape vulnerability to heat. This research will employ a multi
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PhD Position on Machine Learning Detection of Positive Tipping Points in the Clean Energy Transition
, led by Professor Giacomo Marangoni, and embedded within the Policy Analysis section of the Multi-Actor Systems department. You'll collaborate with an interdisciplinary team working at the intersection
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. Your work environment You will carry out this research as part of the ERC-funded RIPPLE project, led by Professor Giacomo Marangoni, and embedded within the Policy Analysis section of the Multi-Actor
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PhD Position on Machine Learning Detection of Positive Tipping Points in the Clean Energy Transition
Giacomo Marangoni, and embedded within the Policy Analysis section of the Multi-Actor Systems department. You'll collaborate with an interdisciplinary team working at the intersection of simulation
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. Your work environment You will carry out this research as part of the ERC-funded RIPPLE project, led by Professor Giacomo Marangoni, and embedded within the Policy Analysis section of the Multi-Actor
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models. You are expected to be present at least one day per week at our shared meeting place - the BirdEyes centre in Leeuwarden, with preferably occasional visits to Groningen. Your first or second year
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positions available (preferably starting also on February 1 2026, a little later is possible). The international network offers a cross-sectoral, multi-disciplinary research and doctoral training programme
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days of paid leave with a 40 hour contract, 8% holiday pay and an 8.3% end-of-year bonus, and a significant discount on a subscription for our on-campus sports centre Opens external
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operations Flexibility is a core concept in operations management, valued for its ability to mitigate demand uncertainty and enhance system performance. This project aims to investigate the value