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can be used for activities that support your career development and personal growth, including workshops, training courses, mentoring, networking, conferences, public engagement, and preparation
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access to a bespoke Faraday Institution PhD Training Programme valued at approximately £5,000 per year. Recipients benefit from a wide range of development opportunities, including networking events
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implemented on an embedded device, Develop network communication protocols, considering the edge computing paradigm and privacy requirements, Support project management, data management, reporting, open science
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PhD Scholarship in Development of Cement-Free Living Building Materials for Sustainable Construction
broad scientific network and gain hands-on experience with complementary expertise and facilities. Responsibilities and qualifications As a PhD candidate, you will take a leading scientific role in
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, mobile working and attractive social benefits Family-friendly infrastructure and support from a family service The position is to be filled within the Marie Skłodowska-Curie Doctoral network METAMIC 3
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, and the formation of a perfusable endothelial network. The central hypothesis is that the physical properties of the extracellular matrix—including stiffness, porosity, architecture, molecular transport
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, workshops, and fieldwork; opportunities to build an international academic network; enjoy flexible working hours and can partially work remotely. You are a part of an international academic team in a healthy
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Network that aims to bring Electric solar wind sail (E-sail) from Low Earth Orbit (LEO) demonstration missions to the operational environment of the solar wind. It is delivered by 8 universities in
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of trustworthy, scalable, and interoperable AI solutions for the operation and management of modern electricity networks. We are currently seeking a Ph.D. student to research the following topics: Development
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of continual graph learning. Continual graph learning studies how graph neural networks can learn from a sequence of evolving tasks, graphs, or distributions while retaining previously acquired knowledges