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Field
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extra holiday leave hours on an annual basis. For part-timers, this is calculated pro rata. 8% holiday allowance and 8.3% end-of-year bonus contribution to commuting expenses optional model for designing
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to distributed energy resources, enabling energy sharing, reducing grid congestion, and enhancing sustainability. The PhD project will focus on the governance models adopted for energy hub platforms. These include
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-edge infrastructures, and emerging AI-driven user applications. Key research directions include: Modeling and profiling of emerging AI-based workloads and data-intensive applications in mobile networks
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through our Terms of Employment Options Model. In this way, we encourage you to keep investing in your personal and professional development. For more information, please visit Working at Utrecht University
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sophisticated condition assessment and decision-making capabilities. This PhD project tackles a critical challenge: how to develop robust machine learning models that can accurately predict component health and
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development external link , various types of leave, and options for sports and cultural activities external link . You can also tailor your employment conditions through our Terms of Employment Options Model
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responsibilities will include: Design and develop analog circuits for implementing ONNs for computing. Modeling, simulate and benchmark different computing tasks such as sensor data processing. Explore ONN
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for implementing ONNs. Modeling, simulate and benchmark different computing tasks such as combinatorial optimisation tasks and solving partial/ordinary differential equations with ONNs. Design and tapeout ONN chips
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light orientation—to form and maintain swarms. To complement the fieldwork, you will conduct lab experiments on a model species (e.g. Culex pipiens) to test specific hypotheses about sensory-driven flight
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. Research focus We welcome candidates with a strong interest in developmental biology, organoid technology, and disease modelling. This position is part of the EU-funded Marie Curie doctoral network (VISI