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methods for causal inference in observational data, is strongly preferred. Using various existing large datasets with rich information for knowledge synthetisation and triangulation over the course of the
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regarding the open PhD positions can be discussed with the supervisor, Prof. Dr. Meng Wang ( vpajob at tu-dresden.de ). TUD strives to employ more women in academia and research. We therefore expressly
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Description Who We Are: The Cutsail research group at Ludwig-Maximilians-Universität (LMU) Munich is seeking a highly motivated PhD student / research assistant for full-time, on-site work in the
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of the infrastructure, design and execution of large‑scale measurement campaigns, and development of data‑driven models for room acoustics and spatial‑audio. The specific research direction will be finalised after
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such approaches would be cost effective. To achieve this, you will be supported to undertake analyses using large data registries such as the Clinical Practice Research Datalink. This is an exceptional opportunity
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the ITN network. Terms of employment We offer a PhD position within our groups at KU Leuven, situated within the broader ITN network. Application procedure For more information please contact Prof. dr
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week, of small group teachings and tutorials. The person will benefit from being part of large research group comprising several PhDs and Postdoctoral Researchers working on related topics of Green and
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; EPSRC Centre for Doctoral Training in Green Industrial Futures | Bath, England | United Kingdom | 23 days ago
? This PhD, working with Prof. Marcelle McManus , provides an opportunity to work to explore and advance novel decarbonisation solutions for high-energy use industrial sites. Your project will be co-created
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to: Design, plan and conduct a programme of investigation, in consultation with the three supervisors. Produce a PhD thesis, written in English, consisting of four data chapters, an introduction and discussion
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; EPSRC Centre for Doctoral Training in Green Industrial Futures | Edinburgh, Scotland | United Kingdom | 23 days ago
This is a fully-funded 4 year PhD offering an annual tax-free stipend of £20,780, tuition fees and an enhanced research and training grant. This PhD is one of a number of projects hosted by