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designed to support a PhD pathway in collaboration with the Institute of Computer Science at University of Bonn. Be part of change Your research focus Learning- and optimization-based methods for physics
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modern distribution networks and developing tools for the optimal integration of PEDs/LCTs and the design of effective classical and AI-based protection concepts. Your core responsibilities will also
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nature-based systems (composting, constructed wetlands, etc.) to optimize nutrient use efficiency and soil health. Assess the effects of different fertilization strategies on soil quality and health and
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Established Researcher (R3) Application Deadline 2 Apr 2026 - 21:59 (UTC) Country Sweden Type of Contract Not Applicable Job Status Full-time Is the job funded through the EU Research Framework Programme? Not
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academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and
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The School of Computer Science and Electronic Engineering at the University of Essex hosts research in communications, networking, signal processing and optimisation. The post will be based within
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optimization of the trade-off between accuracy and speed: measurement of throughput (labels/hour), uncertainty/confidence thresholds, human-in-the-loop strategies, cost/benefit considerations for different data
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(ECLECTX team). This person occupying this position is planned to work on modeling computing elements, established and emerging, at different levels of abstraction, design and development simulation tools
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-objective, real-time) and supply-chain optimization; PdM and RUL with health monitoring; digital twins/smart factories, cross-site transfer and federated/edge learning; uncertainty estimation and calibration