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. Cranfield Doctoral Network Research students at Cranfield benefit from being part of a dynamic, focused and professional study environment and all become valued members of the Cranfield Doctoral Network
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be yourself and we pay attention to each other and to the world around us. Make the most of our bicycle budget, or join networks such as Young@EUR , FAME or QuEUR. Time and space for your development
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the department form a diverse group with different nationalities, backgrounds, and fields. If you work as a doctoral student with us you will receive the benefits of support in career development, networking
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-based recreation (OFR): assessment and valuation for forest ecosystems under natural and human stress (-link-).The objectives of this research topic are to (1) define an improved and tailored evaluation
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international networking. Expert and integrated courses serve to increase the qualification level of the doctoral candidates. Introduction courses on climate system sciences are compulsory, while expert courses
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processing, algorithm design, optimisation and simulation, software engineering and automation and control systems. An overview of the current PhD research projects is given here: https://www.dashh.org
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here for the duration of the appointment. Additional assets: Experience with LCA software (e.g., openLCA, SimaPro, Brightway) and environmental databases (e.g., ecoinvent). Familiarity with (marine
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associated threats. The research project of the PhD student will thus focus on defining methods to track, monitor, and manage the use of GenAI. While this can rely on recentely proposed telemetry framework
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, GPUs, AI accelerators etc.) require high power demands with optimized power distribution networks (PDNs) to improve power efficiency and preserve power integrity. Integrated voltage regulators (IVRs
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and dissemination activities within DTU courses and networks We are looking for a candidate who has: A Master’s degree in bioinformatics, microbiology, food science, data science, or a related field