379 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"FEUP" Fellowship positions in United Kingdom
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in analysis of physiological data, MRI imaging and statistical analysis of crossover design studies and epidemiological datasets. Manage own research and administrative activities. Publish research
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experience of developing and maintaining effective research partnerships. In doing this, you will excellent communication skills, both written and presentation. Additional information Informal enquiries
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relevant to industry demands while working on innovative projects within the university. The research team is seeking a Research Fellow or Research Engineer with strong expertise in Human-Computer
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research project. This project will be to acquire single-molecule localisation microscopy (SMLM) data of proteins in T cells. Role Summary Work within specified research grants and projects and contribute
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, environmental history and contemporary heritage policy. In this role, you will collect and analyse archaeological and environmental data from the Middle East, developing critical insights into premodern landscape
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collaboration, and assisting with the preparation of a competitive large scale funding application to a major external funder, including coordination of supporting documentation, budgeting information, and
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data and identify appropriate costs To extract relevant data from published economic studies. Such data is likely to include costs, outcomes, assumptions and other parameters To estimate costs and
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to experimental design, data analysis, and the preparation of research publications, while working collaboratively with researchers across materials science, nanotechnology, and bioengineering. The successful
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Validation: Oversee the AM process and testing of 3DP ship hull and connector system. Data Collection and Analysis: Gather testing data during for design optimisation. Reporting and Documentation: Prepare
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and quantum cellular automata, many-body quantum chaos, quantum integrability, (generalised) hydrodynamics, quantum information scrambling, entanglement measures, tensor-network theory. The ideal