33 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "U.S" positions at The University of Southampton
Sort by
Refine Your Search
-
the Digital Services application support team who are responsible for the digital services that underpin the work of NIHRCC and also offer support to the School. Further information can be found at: https
-
of intergenerational relations and population change. The Centre is led by Professor Jane Falkingham. For further details, see https://www.cpc.ac.uk/research_programme/connecting_generations/ This project will examine
-
place in the Faculty of Medicine can be found on the Faculty of Medicine website at https://www.southampton.ac.uk/study/subjects/medicine . You will be involved in module leadership, teaching, curriculum
-
with our four research centres (https://www.southampton.ac.uk/research/areas/psychology ). We particularly welcome applications from candidates whose research can contribute to one or more of our cross
-
Digital Twin Framework for Smart and Sustainable Advanced Manufacturing Research area 3: Advanced Multifunctional Materials The ideal candidates would have a background in machine learning, manufacturing
-
globally recognised degree without leaving the country. Job Purpose The role holder’s contribution will be central to the delivery and support of teaching, learning, and assessment related to the modules
-
deep learning models, in causal statistical models and in human-machine teaming and AI ethics. The researcher will conduct internationally-leading research in human factors with applications
-
recognised degree without leaving the country. The role holder’s contribution will be central to high-quality teaching and learning experiences, developing and implementing internationally-recognized curricula
-
globally recognised degree without leaving the country. Job Purpose The role holder’s contribution will be central to delivery and support of teaching, learning and assessment, across Business for the
-
Digital Twin Framework for Smart and Sustainable Advanced Manufacturing Research area 3: Advanced Multifunctional Materials The ideal candidates would have a background in machine learning, manufacturing