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, diverse and UK-wide research programme in probabilistic AI, developing the next generation of mathematically principled, scalable and uncertainty-aware AI algorithms. This will be achieved by bringing
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; led by University of Edinburgh and involving University College London (UCL), Imperial College, Kings College London, and University of Exeter; is a £12M investment in the development of new theory and
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develop a feedback interface integrating human natural sensory and robot’s artificial information. This will encompass mechatronics design, system integration, robotic control, computer vision algorithms
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mapping algorithms for governments in Sub-Saharan Africa. The PDRA will contribute to development of machine and deep learning mapping algorithms in one of the IrrEO’s case study countries (Nigeria
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on chemotherapy response score (CRS). You will develop an AI/machine learning model using spatial proteomics that can accurately differentiate CRS phenotypes. If successful, you will have an opportunity to apply
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in developing new computational algorithm and formulation for generating optimised structure and toolpaths while incorporating the manufacturing constraints. Candidate should have a PhD degree in
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developing new computational algorithm and formulation for generating optimised process, toolpath and motion of machines while incorporating the manufacturing constraints. Candidate should have a PhD degree in
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foundation in at least one of the following areas: computer vision, computational imaging, computational biomechanics, applied mathematics and statistical modelling, focusing on algorithm design and clinical
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, and assess irrigation investments. As part of the IrrEO project, the PDRA will lead the development and validation of national-scale irrigated area and agricultural mapping algorithms in two