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genetics consortia. To be considered for the role you will hold, or be close to completion of, a PhD/DPhil in in epidemiology, genetic epidemiology, molecular epidemiology, medical statistics or other
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environment. The post holder must have experience with EEG and should be able to carry out EEG acquisition and analysis of EEG data independently. The post holder must also have a strong statistical background
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expertise in statistics, mathematics, engineering and AI with industry scientists. Within the partnership, small research teams will focus on ambitious, ‘blue sky’ research for novel methods development
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hundreds of samples from multiple independent marine transmissible cancer clones. The role provides an exciting opportunity to combine single-cell cancer genomics with molecular cytogenetics and statistical
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conservation of marine and coastal ecosystems. The successful candidate will also require strong technical skills in terms of statistical and spatial analyses, and the ability to coordinate and manage large
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knowledge of methodologies such as deep and statistical learning. Informal enquiries may be addressed to Prof. Andrea Vedaldi (email:andrea.vedaldi@eng.ox.ac.uk) For more information about working at
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conservation of marine and coastal ecosystems. The successful candidate will also require strong technical skills in terms of statistical and spatial analyses, and the ability to coordinate and manage large
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responsibilities will include: Pre-registering data analysis plans; Leading and conducting advanced statistical analyses (e.g., twin/family designs, genomic and epidemiological methods, longitudinal modelling
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knowledge of statistics (R) Experience with multiverse analysis and open science practices Experience in the measurement and evaluation of eye tracking data is desirable Experience with physiological data
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responsibilities of the successful candidate will include: Corpus transcription, annotation and analysis of audio recordings from teacher talk in primary school classrooms from different sites in India. Statistical