102 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"University-of-Waterloo" 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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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
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post holder will 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
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Welsh translation service with the Manager – Welsh Translation Service and colleagues within Professional Services and Academic Schools. Develop and support a machine translation system and translation
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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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, timetable support, programme approval and learning support for JOMEC programmes) to students, academic staff and University staff using judgement and creativity to suggest the most appropriate course
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relevant industrial experience within at least two of the below: i. Programming in Python or Matlab ii. Sleep studies and analysis of sleep data iii. EEG analysis (ERPs and Time Frequency) iv. Machine
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development opportunity in a role which focuses on the support and development of teaching and learning activities. Working alongside our other Administrative Officers, you will be responsible for providing
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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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administrative duties like management of student attendance, updating student information, collating student data, attendances and supporting learning materials. Liaising with colleagues from across the University