118 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"Ulster-University" positions at Cardiff University
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medicinal chemistry and molecular biology techniques, including computer‑aided drug design (e.g., molecular dynamics and molecular docking), synthetic organic chemistry for compound synthesis, purification
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their learning and to carry out administrative duties, as required. To pursue excellence in clinical practice, teaching and pedagogy and to inspire others to do the same. Main Duties and Responsibilities Teaching
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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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contribute to the delivery of teaching across Phase 1 of the MBBCh programme, with a particular focus on human physiology in Years 1 and 2. This will include teaching within Case-Based Learning (CBL) and Case
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GP expertise to identify emerging research needs and shape research ideas that reflect real-world primary car practice, ensuring research ideas are relevant to the aims of PRIME Centre Wales and WCRC
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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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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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to provide high quality clinical practice and teaching in the teach and treat clinic. We’d like to hear from you if you are an optometrist who is GOC registered with a Higher Certificate or Diploma in Glaucoma
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in the data and providing reports and recommendations for management. Instruct and guide colleagues across the University within Cyber Security as required. General Duties Abide by all University
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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