Sort by
Refine Your Search
-
Category
-
Program
-
Field
-
: Essential criteria PhD qualified in Mathematics, Physics, Engineering or Computer science or near completion* Experience in language computer programming (Python) General experience in machine learning/deep
-
medicine. This position is an exciting opportunity for an enthusiastic machine learning researcher to push the boundaries of multimodal-AI by developing new models that incorporate data across several
-
more effective screening and therapy. The postholder will focus on developing and applying advanced computer vision and machine learning methods for multimodal imaging and real-time analysis in
-
for candidates to have the following skills and experience: Essential criteria PhD qualified in mathematical, physical or computational sciences Experience in using machine learning methods to analyse datasets
-
omics data, digital pathology, using cutting-edge AI and machine learning approaches. You will play a critical role in developing sophisticated computational pipelines, integrating complex multi-omics
-
from backgrounds, including computational chemistry, bioinformatics, systems biology, physics and machine learning. The project offers a unique opportunity to collaborate closely with experimental
-
Shrivenham and will undertake high-quality scholarship and support a range of professional military and security education courses at the postgraduate level. Successful candidates will teach and supervise
-
slavery manifested in war? How can diverse datasets be synthesised and analysed to research and address slavery in war? By working across the Centre’s datasets and using data analytics and machine learning
-
synthesised and analysed to research and address slavery in war? By working across the Centre’s datasets and using data analytics and machine learning, this Centre strand will build a blended data resource that
-
, Nutritional Sciences and Women's Health cluster) for REF was rated as world-leading or internationally excellent. We use this expertise to teach the next generation of health professionals and research