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candidate, you will investigate the learning capabilities of feed-forward and recurrent models of neural circuits with various degrees of biological plausibility, with a focus on: Transferability of
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matter discoverable with future gravitational wave interferometers? Join GRAPPA as a PhD candidate within the ERC Advanced Grant “De Tenebris” (PI: G. Bertone) and develop precision models of binary black
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at the heart of these crises: they determine how ecosystems are managed, how biodiversity and ecosystem services are affected, and to what extent human demands are met. Large-scale economic and land-use models
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, such as the mean and standard deviation of some target property or for (2) model-based prediction (i.e., mapping) of environmental properties such as forest biomass. However, sampling and measuring at new
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models and LLM-based explanations. You will provide the community with the first tool for self-healing software that is useful for research, education, and industrial use. Your research will be published
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units for (1) design-based estimation of population parameters, such as the mean and standard deviation of some target property or for (2) model-based prediction (i.e., mapping) of environmental
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suggested patches, easier to understand using interpretable AI using state machine models and LLM-based explanations. You will provide the community with the first tool for self-healing software that is
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models to simulate gastrointestinal navigation and refine the system’s interface and functionality based on clinician feedback. Contribute to preclinical deployment where the system will be used in early
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, integrating AM into supply chains demands new models and methods. In this PhD project, you will: develop dynamic supply chain design models that enable the repositioning of AM equipment based on Defence
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Models (FMs)) are not only trustworthy but also just (i.e. guaranteeing social justice for Global Health). You will be embedded within the research groups of the Department of Rehabilitation at Radboudumc