Sort by
Refine Your Search
-
Listed
-
Country
-
Field
-
, specifically in the Data Solutions team, which plays a pivotal role in delivering enterprise-wide data solutions. The team is at the forefront of modernising King’s data infrastructure, driving innovation
-
of the large-scale programme and associated projects of the Data & Digital Alliance Team (DIGIT) of the Mental Health Goals Programme. DIGIT-MHG is part of a UKRI funded programme to create an innovative
-
of the role and the skills, knowledge and experience required can be found in the Job Description document, provided at the bottom of the page. This document will provide information on what criteria will be
-
for a Lecturer position in Data Science/AI. We seek an outstanding researcher and teacher who will contribute to our Data Science, Artificial Intelligence, and broader Computer Science programmes
-
of administration for the Centre, including event management. This will include working closely with the RSS Manager to communicate information effectively across the King’s NIHR RSS partnership including Greater
-
community. You will take the lead in designing and creating a range of visual elements such as graphics, illustrations, data visualisation and animations for a range of online courses. You will be responsible
-
health and behaviour throughout pregnancy, enabling a holistic understanding of health trajectories and personalised interventions. The post focuses on analysing multimodal data collected from wearable
-
linked to SMART objectives This role comes with excellent benefits, including but not limited to: Generous annual leave allowance Range of opportunities for professional learning and development Excellent
-
PhD in Environmental Science, Geography or a cognate discipline and should have a developing research profile linked to the study of urban pollution. We particularly welcome applicants that utilize a
-
signatures of ALS pathology in human motor neurons using a novel system developed in the Serio lab. The successful candidate will have a demonstrable track record and experience bioinformatics and data