27 machine-learning-"https:"-"https:"-"https:"-"U.S" positions at UNIVERSITY OF SOUTHAMPTON
Sort by
Refine Your Search
-
for light–matter interaction in hyperuniform disordered plasmonic structures, including electromagnetic modelling, optimisation of metal–dielectric–metal resonators, and physics-informed machine-learning
-
application of innovative Machine Learning (ML) frameworks to understand and predict the global hydrological cycle. The role will require bridging the gap between process-based physical modeling and scalable
-
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
-
CAR-iNKT platforms optimised for AML immunotherapy. The role bridges basic and translational research and suits a creative scientist with interests in tumour immunology, T cell engineering, and
-
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
-
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 offered in
-
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 University
-
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 University
-
limited to Franking machines, handheld devices, desk top PCs and Inputting any required data accurately onto our online systems. Receiving goods in and routing them to the correct location within the agreed
-
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 University