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Sheva, Israel) and Prof. Dr. Daniele Leonori (RWTH Aachen, Germany). The CATALOOP network aims at the development of powerful and readily applicable workflows for data-driven development
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filled in the Faculty of Social Sciences and Business Studies. In addition to traditional legal research, the doctoral programme aims to develop interdisciplinary and internationally compliant research
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on novel protein-RNA interaction rules to explore their functions in environmental adaptation and development. These positions are multi-year and funded by the ERC. The Lab studies RNA/protein assemblies
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of Moldova through econometric modeling. Measure and assess the effects of Covid-19 on demographic indicators in Romania and the Republic of Moldova. Develop an advanced integrated system to counteract
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entitled “Development of a global diagnostic ecosystem for detecting and monitoring emergency-prone pathogens across species and in a unified way”, Acronym: UniHealth (https://unihealth-project.eu/ ) PhD
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developing, evaluating, and disseminating evidence-based multigenerational digital lifestyle interventions. The position is part-time (hourly), with remote, in-person presence at the Miller School of Medicine
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they are interconnected, and how they can change with an altering climate and with human activity. PhD researchers participate in ongoing research comprising field observations, method development, experiments and
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Announcing 10 PhD Studentships within the Royal Holloway Social Purpose Centre for Doctoral Training
for the Everyday). We have an excellent Researcher Development programme, and wider institutional postgraduate training. We are committed to supporting a strong and growing PGR community, including PGR-Led
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to the development of a sustainable blue bioeconomy, robust aquatic ecosystems, and reduced effects of climate change. We have a large national and international network and cooperate with research partners, public
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on the following tasks with either with a stronger model-development or application focus: Design knowledge-graph-augmented transformers and retrieval-augmented generation (RAG) pipelines that enable