Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
deep learning to join our team and help develop novel computationally efficient segmentation algorithms. We welcome application from individual with experience in: Deep learning Medical imaging computing
-
learning methods, such as longitudinal analysis methods, latent variables models, clustering algorithms, missing data and clinical trial analysis Strong publication record Experience in women and children’s
-
Learning or Machine Learning algorithms Experience applying quality system standards, software development standards and regulation, e.g. ISO 13485, IEC 62304, MDD, and MDR Experience working within a team
-
bioinformatics Previous experience with AI and/or machine learning approaches Interest in reproductive health and/or development of clinical tools and algorithms Downloading a copy of our Job Description Full
-
-disciplinary research environment Desirable criteria 1. Experience in devising and developing novel machine learning algorithms 2. Hands on experience with ROS and physical robots 3. Excellent
-
around their schedules. We are a dynamic team with ambitious growth targets in a priority area of development for King’s. We proudly foster a supportive culture and community which prioritises both
-
once they turn 30 to explain the Study, gain informed consent, and schedule interviews; conduct interviews with Study participants via online video calls to assess mental health and other aspects
-
, working around their schedules. We are a dynamic team with ambitious growth targets in a priority area of development for King’s. We proudly foster a supportive culture and community which prioritises
-
your application, please take a look at our ‘How we Recruit’ pages. Interviews are provisionally scheduled to be held on week commencing 15th September.
-
around their schedules. We are a dynamic team with ambitious growth targets in a priority area of development for King’s. We proudly foster a supportive culture and community which prioritises both