108 machine-learning-"https:" "https:" "https:" "https:" "https:" "University of St" "St" uni jobs at King's College London
Sort by
Refine Your Search
-
well as Machine Learning (ML) tools — to interrogate a very large sample of Electronic Health Records from people with epilepsy across multiple NHS hospitals. They are expected to have experience working in Data
-
Life Sciences & Medicine. Department: Res Dept of Imag Phys & Eng. Contact details:David Carmichael. david.carmichael@kcl.ac.uk Location: St Thomas Hospital. Category: Professional & Support Services
-
THIS VACANCY IS OPEN TO INTERNAL APPLICANTS ONLY About us About King’s Digital Our mission is to provide transformative, high-quality digital education, so students can learn, wherever they are. We
-
members and 110 PhD students, and offers an exceptional multidisciplinary environment for cutting-edge cardiovascular and metabolic research. Learn more about our school (https://www.kcl.ac.uk/scms ) Our
-
academic staff are organised across 7 Science Schools plus the Centre for Education. For more information please see the Faculty’s webpages: https://www.kcl.ac.uk/lsm/index About SUSTech SUSTech is a public
-
Engineering & Imaging Sciences (BMEIS) and the Royal Brompton Hospital’s Imaging Department in Chelsea. The School of BMEIS (https://www.kcl.ac.uk/bmeis ) is committed to improving the way we deliver healthcare
-
of knowledge in the subject of Robotics to develop research in the field, e.g., robot design, control and mechatronics; 4. Publication record in robotics and machine learning, e.g., ICRA, IROS, RSS, CoRL, T
-
Familiarity with immune profiling and systems immunology in infectious diseases or critical illness, including sepsis Experience with machine learning approaches for biomedical datasets Planning and preparation
-
sets out the actions that we must take to transform how we teach, how and where our students learn and how we support them during their time with us. King’s Careers & Employability (KC&E) empowers over
-
precision immunotherapy strategies to improve patient outcomes. More information about the research group can be found here: https://www.kcl.ac.uk/research/shankar-hari-group-1. The groups’ programmatic work