51 machine-learning "https:" "https:" "https:" "https:" "RAEGE Az" uni jobs at UNIVERSITY OF SURREY
Sort by
Refine Your Search
-
experience. You will bring experience in: Computer vision and machine learning: developing, training, evaluating, and deploying computer vision models. Data visualisation and analytics: turning complex data
-
learning experiences that prepare graduates to excel in an ever-changing world. We are seeking a new Pro-Vice-Chancellor, Education to play a pivotal role in shaping Surrey's education and student experience
-
. If you are interested in learning more about this position, please contact Professor Chanaka Jayawardhena (c.jayawardhena@surrey.ac.uk) . Further details Job Description Where to apply Website https
-
. If you are interested in learning more about this position, please contact Professor Chanaka Jayawardhena (c.jayawardhena@surrey.ac.uk ). Further details Job Description Where to apply Website https
-
of their capability to teach international business, corporate governance, risk management, and related subjects across undergraduate and postgraduate programmes. Industry experience, particularly in
-
. For further information, please visit the SBS website . We seek to appoint a Lecturer in Digital Marketing Analytics. The successful candidate will demonstrate clear evidence of their capability to teach
-
Surrey's position among the world's leading universities. For more information, including how to apply, please visit https://plusportal.perrettlaver.com/ quoting reference 8180. The closing date
-
to close this vacancy early or extend based on Volume and Calibre of applications. Further details Job Description Where to apply Website https://www.timeshighereducation.com/unijobs/listing/408855/lecturer
-
statements to help us assess your suitability for the position. Further information Further information about the University and the School of Health Sciences can be found at https://www.surrey.ac.uk/school
-
development in topics such as computer vision, audio signal processing, machine learning, deep learning, and/or sensor systems. Experience in collaboration and technology transfer to partners outside