105 machine-learning-"https:"-"https:"-"https:"-"https:" positions at University of Nottingham
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
of the Manufacturing Technology Centre (MTC) and academics within the Power Electronics, Machines and Control (PEMC) Research Institute , University of Nottingham. The project will be supported by the state-of-the-art
-
, together with evidence of managing cash-handling/reconciliation processes. Previous experience working with computer-booking systems would be desirable. The role is key to ensuring a first class and seamless
-
team of clinical teachers, supporting both undergraduate teaching and learning, and postgraduate education. Experience in equine practice is essential for this role and familiarity of teaching and
-
and testing a prototype tool with young people, practitioners and computer scientists to support improved identification, understanding and support for self-harm in young people. You will support the
-
. Previous experience working with computer-booking systems would be desirable. The role is key to ensuring a first class and seamless experience for our student, staff, alumni and public members. Excellent
-
Testing Technical Apprenticeship to learn the skills needed to support the operational, research and teaching requirements of the materials laboratories across the Mechanical, Materials, and Manufacturing
-
to cover living costs; Join a multidisciplinary cohort to benefit from peer-to-peer learning and transferable skills development. Learn more about the programme, available projects, and the application
-
they should be able to teach quantitative research methods to undergraduate and postgraduate students using R. Previous teaching experience using R is desirable. Applicants should possess excellent
-
have at least 2:1 degree in a relevant field. Applicants with the prior knowledge and experience in one or more of the following fields are encouraged to apply: computer programming (any programming
-
advancement in electric machine performance. Who we are looking for We seek a motivated candidate with at least a high 2:1 degree in Engineering, Physical Sciences, or a related field. Prior experience (such as