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penetration increases, new challenges arise regarding grid stability, flexible power management, and the provision of ancillary services as conventional synchronous generation declines. Integrating grid-scale
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This PhD opportunity at Cranfield University explores how next-generation AI models can be embedded within resource-constrained electronic systems to enable intelligent, real-time performance
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Employment 1.0 FTE Gross monthly salary € 3,059 - € 3,881 Required background Research University Degree Organizational unit Nijmegen School of Management Application deadline 21 August 2025 Apply
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motivated applicant to undertake an original and applied programme of research linked to ongoing work led nationally by the Chartered Institute for the Management of Sport and Physical Activity (CIMSPA
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: job ticket Family-friendly working environment: cooperative arrangements for childcare, subsidy for child vacation care, advice for employees with relatives in need of care Wide range of health
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, thermal, electromagnetic or kinetic), are critical for the sustainable operation of wireless IoT devices and remote sensors. The world can reduce reliance on batteries and fossil-fuel-derived power if more
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strategies to mitigate the risk of injury. You will also conduct user studies in the lab and in the wild to validate and verify the accuracy and performance of the proposed algorithms. Through this project
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. The student will perform ‘big data’ analysis of patient cohorts including time-based evaluation of the impact of introducing CT-FFR as a national health intervention into a healthcare system. Exploratory
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nitrogen fixation at the molecular level. Your Responsibilities: Perform EPR and related spectroscopic investigations of biological and synthetic nitrogenase systems Prepare synthetic iron-sulfur clusters
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. Experimental studies will be performed in wind tunnels with advanced measurement techniques with high spatial and temporal resolutions. Realistic car models (DrivAer models) will be considered in this study and