Sort by
Refine Your Search
-
, computer science, and the natural sciences to develop the conceptual and mathematical tools needed for the trustworthy deployment of AI agents in science. The project is based at the Egenis Centre for the Study of
-
THIS VACANCY IS OPEN TO INTERNAL CANDIDATES ONLY About Us We are seeking a highly motivated and experienced researcher to work on the large-scale programme and associated projects of the Data
-
, and with expertise in quantitative and qualitative methods, to develop a training and capacity-building programme and lead research projects working on large datasets. On training and capacity-building
-
following skills and experience: Essential criteria PhD in a relevant field, such as digital health, engineering, computer science, or population health, health services research Advanced knowledge of digital
-
conferences in areas of machine learning, computer vision, and Large Language Models and high-impact specialist peer reviewed academic journals. • Ability to conduct interdisciplinary research activities
-
to contribute to wider CSNS programme activity, including the Engelsberg Applied History Programme and the Ax:son Johnson Institute for Statecraft. The qualified applicant will have a PhD in a field related to
-
clinical base at the Maudsley Hospital and involves affiliated laboratories across King’s Health Partners. The programme is strongly lead by statistical modelling to predict not just Parkinson’s disease (PD
-
education (MD/PhD) with a focus on statistics and large-scale real-world datasets with established academic track record, including peer-reviewed publications Proficient in numeracy and literacy with
-
, engineering, psychology/HCI, computer science, or related discipline). For the appointment as the Research Fellow, a PhD degree is essential. Demonstrable experience coordinating complex projects or programmes
-
. Fellowships provide a competitive salary and up to £30,000 in research expenses for 18–24 months, enabling fellows to establish a distinctive research programme and prepare competitive applications