16 parallel-and-distributed-computing-phd Fellowship positions at King's College London
Sort by
Refine Your Search
-
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
-
part of an EPSRC Programme Grant involving 15 co-investigators in a range of disciplines related to development of PET imaging strategies for the development of healthcare nanomaterials for therapeutic