31 machine-learning "https:" "https:" "https:" "https:" "https:" "Mines Paris PSL" "Mines Paris PSL" Fellowship research jobs at UNIVERSITY OF SOUTHAMPTON
Sort by
Refine Your Search
-
shaping contemporary political landscapes. Project Overview: Website: More information is available at the PLEDGE website: https://www.pledgeproject.eu/  ; Responsibilities: Engage in conceptual and
-
to help maintain and support employees’ well-being and work-life balance, please see our working with us webpages Where to apply Website https://www.timeshighereducation.com/unijobs/listing/406574/clinical
-
on Smart Fibre-Optic High-Power Photonics (HiPPo). The HiPPo programme (https://www.hippo-laser.co.uk/ ) is focused on understanding how to control the properties of fibre lasers, to go beyond the “fixed
-
for light–matter interaction in hyperuniform disordered plasmonic structures, including electromagnetic modelling, optimisation of metal–dielectric–metal resonators, and physics-informed machine-learning
-
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
-
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
-
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
-
work well within multidisciplinary teams. A strong publication track record in high-quality international journals or industry experience in using Shima Seiki WholeGarment machine would be an asset
-
, and finally using deep learning to solve the complexity challenge associated with coherent beam combination. The role Within HiPPo, your specific task will be to develop a ‘digital fibre laser’, through
-
polarisation shaping, and finally using deep learning to solve the complexity challenge associated with coherent beam combination. The role Within HiPPo, your specific task will be to develop a ‘digital fibre