134 machine-learning-"https:"-"https:"-"https:"-"https:"-"VIETNAMESE-GERMAN-UNIVERSITY" positions at Cardiff University
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- Learning Technologist The Cardiff Learning and Teaching Academy is offering an exciting opportunity to join its Digital Education Team. As part of a team of Digital Learning Professionals and Learning
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play a leading role in the analysis of large and complex genetic and electronic health records datasets with a range of Statistical and Machine Learning approaches, whilst leading a broad range of
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technology (post-editing machine translation and the University translation memory output) and software to ensure accuracy, consistency, and value for money in relation to translations. Instruct and guide
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. Willingness to learn complex statistical analyses of fMRI data (this might include analysis methods such as multivariate data analysis, machine learning or computational modelling) Desirable CriteriaExperience
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play a leading role in the analysis of large and complex genetic and electronic health records datasets with a range of Bioinformatics tools, Statistical and Machine Learning approaches, whilst leading a
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experience within 2 of the following research fields: Programming in Python or Matlab EEG analysis (ERPs and Time Frequency) Machine learning Sleep scoring or analysis of sleep elements (like spindles or Sos
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machine learning techniques within research computing or data management environments 4. A degree or equivalent experience / professional qualifications 5. An understanding of ITIL service management
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stakeholders in the School and Student Futures to recommend clear processes enabling the delivery of successful placement and experiential learning activities that meet learning outcomes and professional
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and Time Frequency) iv. Machine learning v. Analysis of sleep elements (like spindles or Sos) Knowledge of in the contemporary literature relating to at least two of the above areas. Proven ability
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advanced computer modelling (in silico), through robot driven testing of implanted knees (in vitro), to 3-dimensional X-ray imaging of moving patients (in vivo) with Machine Learning driven analysis