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                Field
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                looking for a highly motivated PhD candidate for the project “Addressing craving in the city: Using system insights for personalized context-driven interventions to combat nicotine use”. This four-year PhD 
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                Teaser Text We invite applications for a PhD/PD position on ANIMATE MATTER funded by the consortium “Emergence at all Scales”. The aim of this project is to unravel the principles underlying 
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                data-driven society relies. The production of next-gen integrated circuits, with ever smaller feature sizes, introduces a whole host of challenges. One of these challenges is the effective and fast 
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                a quantitative understanding of the interactions between the nanomedicine and cellular membranes. The PhD position will work under supervision of Prof. Daniela Kraft, whose group is embedded in 
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                interventions to combat nicotine use”. This four-year PhD project is embedded within the Persuasive Communication program group, in close collaboration with the Amsterdam UMC’s Department of Public & Occupational 
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                designing circular chains and networks. The PhD position is embedded in the research programme OPERA of FEB’s Research Institute. The project will be supervised by Prof. Dirk Pieter van Donk and Dr Eugenia 
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                allowance and 8,3% year-end allowance. The UFO profile PhD candidate is applicable. A favourable tax agreement, the ‘30% ruling’, may apply to non-Dutch applicants. The preferred starting date is to be 
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                Ensuring good water quality in cities is vital for a healthy city: in this PhD you will develop monitoring and modelling strategies to help design resilient water cities of the future. Job 
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                practices: What practices of legitimation are effective for the DPPs of steel-using firms to be regarded as reliable by regulators and consumers? Organization The PhD position is embedded in the research 
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                for a: PhD Candidate in Emotionally and Socially Aware Natural Language Processing (1.0fte) Project description Current Natural Language Processing (NLP) systems, and especially large language models