65 big-data-and-machine-learning-phd Fellowship positions at University of Nottingham
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very good working knowledge of statistically packages such as SPSS, AMOS, Stata or R Experience of cleaning, recoding and cataloguing large and complex data sets suitable for time-dependent
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properties of vibrational sources in large built-up structures, such as cars or airplanes. We will incorporate data from measurements and implement these sources into large-scale structure-borne sound
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/Fellow who can deliver the research whilst helping to manage project delivery. Candidates must hold an appropriate engineering or science degree level qualification and a PhD (or be about to obtain a PhD
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10 minutes and machine learning algorithms to deliver quantitative diagnosis without destroying the samples. The AF-Raman prototype will be integrated and tested in the operating theatre
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, alignment, and characterisation of laser-based instrumentation. • Strong experience with computer programming, both for signal processing and experimental hardware control (e.g., C, C++, Python, MATLAB
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of sterile and infected single and co-cultures of immune and stromal cells, and correlative data analysis including surface characterisation of biomaterials. Candidates must have a PhD submitted (or close
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the project, you will work in close collaboration with the team designing and testing the reactors to validate your simulation outputs, and your data will directly feed to the research undertaken by another
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. You will be responsible for supporting the delivery of a large National Institute for Health Research (NIHR) funded programme of research into eczema online trials, led in partnership with citizen
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experiments and test candidate therapeutics on leukaemic stem cells isolated from primary patient samples. You will be responsible for carrying out laboratory research, data analysis and presentation of results
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information (spectroscopic data, etc.) for publications are expected. The ability to foster a supportive, creative research culture and the commitment to learn from others is essential. Candidates must hold a