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, with the ambition of making regenerative agriculture the new norm by 2040. Within ReGeNL, you will join work package 3B which develops predictive models at various scales. In 3B, a wide range of topics
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will work at the intersection of satellite observations, modelling, and theory, and your results will directly feed into next-generation global fire emission inventories (GFED v5.2), with strong impact
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? No Offer Description This position is part of the NWO KIC Smart Materials project, Smart Materials for Information Processing, in collaboration with the NanoElectronics (NE) group at the University
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revisiting ideas and concepts from this field for the purpose of interpretable machine learning. Pattern-based modelling, for example, cannot only be used for exploratory data mining but also for predictive
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-tracking and behavioural measurements. As a PhD Candidate, you will be part of an international network of 13 research labs located throughout Europe working on the EU-funded HUM.AI.N-ACCENT project
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revisiting ideas and concepts from this field for the purpose of interpretable machine learning. Pattern-based modelling, for example, cannot only be used for exploratory data mining but also for predictive
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societal challenges while at the same time being theory-driven and contributing to a refined understanding of psychological processes in the context of work. We value collegiality, knowledge exchange, and
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also be requested to teach. This PhD project offers a unique opportunity to develop yourself as an academic researcher and to work local and international research contexts. The PhD project The IJssel
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inspiring study and working environment for students and employees. International accreditation enables the Faculty to assess performance against the highest international standards. It also creates
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. By advancing knowledge on these dynamics, we seek to contribute to both scientific theory and practical solutions for organizations. Your colleagues: This PhD position is part of a larger project