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the DECIDE project: a large-scale, NWO-funded research initiative under the Dutch Research Agenda (NWA). This position is a collaboration between Utrecht University and multiple other universities, including
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system will enable single-shot, real-time 4D Imaging, going beyond the current state of the art. This project will focus on two main steps: 1. Developing real-time tomographic 4D imaging using multiple
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PhD students (multiple positions) Artificial Intelligence within Public Health Research (all genders) Start date: 01.10.2026 Contract type: 3 years (fixed-term) Location: Wildau Deadline: 30.04.2026
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. The Health System encompasses Duke University Hospital, Duke Regional Hospital, Duke Raleigh Hospital, Duke Primary Care, Duke Home and Hospice, Duke Health and Wellness, and multiple affiliations
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modeling framework will be designed to support multiple downstream applications, including energy flexibility assessment, advanced control strategies (e.g., MPC and RL), and evaluation of renovation and
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energy hub assets with greenhouse climate actuators, exploring multiple operational objectives: cost minimization, flexibility maximization, and load shifting in response to grid signals. The project will
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-sensor fusion, and propagation modeling — to develop AI-enabled detection, classification, and triangulation algorithms for critical energy infrastructure applications. This position resides within
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environment to support agricultural decision making with advanced remote sensing and geospatial technologies. Responsibilities: Develops advanced Agro-geoinformatic algorithms for monitoring and predicting
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—remains a critical challenge. This project will focus on designing AI-driven cognitive navigation solutions that can adaptively fuse multiple sensor sources under uncertainty, enabling safe and efficient
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Integration: This WP develops a Runtime Assurance Layer by deploying lightweight anomaly detection algorithms, such as autoencoders, to flag unsafe AI decisions. It also involves the development of an Ethical