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of future urban living environments. This broadened futures approach will expand evidence-based spatial modelling through the creation of experiences that connect possible alternative futures to the present
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sensing provides large-scale and consistent observations, in-situ data collection remains a vital component for ground-truthing, model calibration, and validation of automated monitoring. However
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will collect ego-centric network data using a novel visualized network-data collection tool specifically designed to survey complex personal networks. Objective 2: examining the effect of recognizing
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candidate would become an ARIA R&D creator. Responsibilities: Conduct foundational research on aggregation mechanisms, including: for-mal modeling and axiomatic analysis, computational complexity and algo
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into the complex interactions between, on the one hand, social entrepreneurs and vulnerable individuals in rural areas, and, on the other hand, mental healthcare providers and individuals in vulnerable situations
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of Twente is looking for a highly motivated and talented PhD candidate to join our team. In this position, you will explore advanced frameworks to make complex interacting programs fault-tolerant and future
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candidate would become an ARIA R&D creator. Responsibilities: Conduct foundational research on aggregation mechanisms, including: for-mal modeling and axiomatic analysis, computational complexity and algo
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to provide better quality estimates compared to variables obtained from traditional data sources? RQ2: how can we combine the two different data sources in area-level models to measure attitudes towards LGBTQ
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productivity and community biomass to size spectra under stress. Examples of the approach can be found in Ecological Modelling 205: 196-208 and Ecological Indicators 79: 114-121. You will be part of the WP3 team
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, proven understanding of business development and financial models Experience with digitalisation projects, thereby increasing efficiency in tools and processes Strong managerial and leadership experience