20 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions at University of Leicester in United Kingdom
Sort by
Refine Your Search
-
calendaring (based on MS Exchange), networked printers, provision of equipment in teaching rooms, lecture theatres and open access computer areas, a Virtual Learning Environment, web, print and moving image
-
essential, alongside excellent communication, writing and presentation skills. Knowledge on AI and machine learning is desirable. You should have a proven track record in research and software development
-
have: Experience with AI and machine learning for medical images Experience working with data from multiple hospitals An interest in rare disease research. Additional information Informal enquiries
-
to the delivery and development of our undergraduate and postgraduate programmes, including BSc Psychology and our Distance Learning MSc Coaching Psychology and MSc Psychology of Coaching. You will design and
-
of Management, Work, Employment and Human Resource Management, delivering high-quality teaching to both campus-based and distance learning students. Your responsibilities will include delivering and managing
-
, telecommunications, electronic engineering, applied mathematics or a related discipline, with strong expertise in AI and machine learning technologies. A solid understanding of networks or network applications is
-
on campus and through distance learning. You will play a key part in maintaining the School’s reputation for teaching excellence by engaging in curriculum development, supervising dissertations, and ensuring
-
to research-inspired education and deliver world-class teaching across undergraduate and postgraduate programmes. You will play a key part in shaping innovative curricula, supporting student learning, and
-
other OSCEs and written examinations. Assessment is well known to ‘drive learning’. As such, this post is pivotal in our excellent course. Providing a high quality OSCE assessment ensures we only progress
-
. The daily tasks will involve you working on events, supporting engagement and communications and liaising with colleagues across the University to ensure effective communication and learning from the project