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of biomechanical analysis into a new era. Considering the size of the pitch along with the stochastic nature of football there are questions relating to the accuracy of this kinematic data, which forms the basis
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research in the broad field of computational methods for the built environment. Particular emphasis is placed on building information modelling, digital drawings, point cloud capturing and processing as
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Application deadline: All year round Research theme: Numerical Analysis This 3.5 year PhD project is fully funded and home students, and EU students with settled status, are eligible to apply
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), machine learning (ML), deep learning (DL) and Data science methods for medical image analysis, to autonomously grade the fundus images from large datasets. This will be supported by Professor Neil Vaughan
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analysis software (e.g., Fiji/ImageJ). Advanced Cell Manipulation (e.g., genome editing via CRISPR/Cas9, flow cytometry/FACS). Basic familiarity with data analysis tools (e.g., GraphPad Prism, R, or Python
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-cell imaging) or image analysis software (e.g., Fiji/ImageJ). Advanced Cell Manipulation (e.g., genome editing via CRISPR/Cas9, flow cytometry/FACS). Basic familiarity with data analysis tools (e.g
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multidisciplinary supervisory team spanning engineering, ecology, and environmental science, with access to state-of-the-art laboratories, field sensors, and data-analysis facilities. You will also join Manchester
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variety and scientific exchange Room to grow: support for further training and additional qualification in mass spectrometry-based analytics, data analysis and related fields The opportunity to build a
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microscopy and traction force microcopy, as well as data analysis, development of theoretical models, and preparation of data for presentations and publications. We are looking for a motivated candidate, who
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mass spectrometry. Training on data analysis including relevant image analysis software, statistical analysis including graphpad prism and R and flow cytometry analysis using FlowJo will also be provided