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Field
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standards. Key attributes of the successful applicant include: Proven administrative capabilities with experience of scientific research projects and knowledge of clinical research structures. High attention
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contribute significantly to these growing fields. This PhD position is ideal for candidates interested in the following areas of machine learning: Geometric learning: exploiting the structure of data (e.g
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Applications are invited for 2 PhD positions ("Doctoral Candidates") to be funded by the Horizon Europe Marie Skłodowska-Curie doctoral network “CUSTOM” (Customized Porous Structures and Advanced
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project investigating seismicity, fluid processes and structure in active rift zones. The new project – Testing Models of Active Extension (TMAX) – will involve collection and analysis of new earthquake
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and ability to work in interdisciplinary teams. Desirable: B1 Knowledge of geospatial data structures and visualisation tools. B2 Skills in user-centred design, including working with collaborative
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BBSRC Yorkshire Bioscience DLA Programme: Paraspeckle condensates in cell health, stress and disease - what can structural studies tell us? School of Medicine and Population Health PhD Research
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/Qualifications Essential: A1 SCQF Level 10 (Honours degree) in a relevant subject (e.g. Biomedical Engineering, Engineering, Physics) or a cognate discipline that has involved the construction of optical systems
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of structural and cellular biology research, which is part of the School of Basic & Biomedical Sciences . We sit in the Faculty of Life Sciences & Medicine , which has a broad spectrum of research
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datasets from Kepler, TESS, and PLATO to reassess trends in exoplanet occurrence, structure, and evolution. Methods and Tools The project will involve: • Bayesian inference (hierarchical models, posterior
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with core data analysis and professional skills that are necessary for bioscience research and related non-academic careers. https://www.yorkshirebiosciencedtp.ac.uk Project Description: This fully