17 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" uni jobs at University of Glasgow
Sort by
Refine Your Search
-
extraction. 2. Be responsible for the application of AI and machine learning techniques to improve tissue image interpretation, for use in case selection and tissue annotation for tissue microarray
-
and Responsibilities 1. Responsibility for the supervision of the PowerPlay conditioning suite, (19 Platforms, Technogym Resistance machines, Kettlebells, powerbags, climbing frame and other equipment
-
Scotland Innovation Hub to provide a secure cloud computing platform for Federated Learning and Machine Learning model development, and clinical researchers from NHS Greater Glasgow and Clyde. The successful
-
experience aligned to the goals of at least one of the Centre for Data Science and AI’s with commensurate output. E2 Substantial experience in machine learning and AI, including experience in machine learning
-
and Responsibilities 1. Responsibility for the supervision of the PowerPlay conditioning suite, (19 Platforms, Technogym Resistance machines, Kettlebells, powerbags, climbing frame and other equipment
-
and Responsibilities 1. Responsibility for the supervision of the PowerPlay conditioning suite, (19 Platforms, Technogym Resistance machines, Kettlebells, powerbags, climbing frame and other equipment
-
modelling, multimodal neuro-imaging and physics-informed machine learning to improve assessment of glioblastoma treatment response. The candidate will also be expected to contribute to the formulation and
-
experience aligned to the goals of at least one of the Centre for Data Science and AI’s programmes with commensurate output. E2 Experience in machine learning and AI, including experience in machine learning
-
/application of specialist machines equipment. 4. Make a leading contribution to shaping the plans of the service area/research/teaching group plans. Develop a vision and strategic plans for operational
-
, machine learning, and related AI approaches, this is your chance to work at the intersection of data science, pathogen-research and immunology, tackling questions that matter for global health. The position