53 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "The Institute for Data" PhD scholarships at University of Nottingham in United Kingdom
Sort by
Refine Your Search
-
via the University of Nottingham admissions portal: https://www.nottingham.ac.uk/pgstudy/course/research/2026/chemistry-phd View All Vacancies
-
of Nottingham. The Rolls-Royce UTC at the University of Nottingham is a leading research institution specializing in the development of soft and continuum robots for challenging environments (https
-
tailored trajectory guidance. Enhancing Robot Autonomy: Enabling robots to improve their own performance by learning from operator data, ultimately enhancing their ability to assist in complex tasks. Key
-
degree in engineering, maths or a relevant discipline, preferably at Masters level (in exceptional circumstances a 2:1 degree can be considered). To apply visit: http://www.nottingham.ac.uk/pgstudy/apply
-
extrapolated to increase the conservation of our built heritage at risk. Learning from previous earthquakes to increase resilience in future earthquakes in seismic areas (Feilden 1987) is essential to ensure
-
transcripts. These should be submitted via email to Dr Taresco and through the University of Nottingham’s online application system (https://www.nottingham.ac.uk/pgstudy/how-to-apply/apply-online.aspx
-
. These should be submitted via email to Dr Taresco and through the University of Nottingham’s online application system (https://www.nottingham.ac.uk/pgstudy/how-to-apply/apply-online.aspx ), selecting “Chemistry
-
with a 1st class degree in engineering, maths or a relevant discipline, preferably at Masters level (in exceptional circumstances a 2:1 degree can be considered). To apply visit: http
-
, preferably at Masters level (in exceptional circumstances a 2:1 degree can be considered). To apply visit: http://www.nottingham.ac.uk/pgstudy/apply/apply-online.aspx For any enquiries about the project please
-
/physics or any related discipline. This is a largely experimental research project based at the University of Nottingham, with some aspects of material modelling and development of machine learning to aid