96 algorithm-development-"Multiple"-"Simons-Foundation" research jobs at KINGS COLLEGE LONDON
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://www.kcl.ac.uk/lsm/index.aspx Within FoLSM, the School of Biomedical Engineering and Imaging Sciences is a cutting-edge research and teaching School dedicated to development, translation and clinical application
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. From research that led to the discovery of the structure of DNA, to developing life-changing therapies and making maths education available to underrepresented groups, we continue to have a
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multiple fields and audiences. This is a full time post (35 Hours per week), and you will be offered an a fixed term contract until 31 August 2028. About you Please note that these are development positions
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About Us We are seeking experts in medical image deep learning to join our team and help develop novel computationally efficient segmentation algorithms. We welcome application from individual with
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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
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development with Python Experience of machine learning with PyTorch Good knowledge of machine learning and computer vision algorithms Ability to work on own initiative and in a team Experience in collaborative
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support needs of minoritised ethnic people with multiple long-term conditions, and transform how healthcare providers, communities and policymakers construct, respond to, and support them in local and
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Experience in devising and developing novel machine learning algorithms Hands on experience with ROS and physical robots Excellent mathematics skills, particularly in areas relevant to robotics and AI
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(including a Parenting and Carers Fund and the Carer’s Career Development Fun d), training, and a variety of diversity and inclusion networks. Staff can apply for flexible working to help them balance
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technology—and strengthen collaborative links across institutions. The role is integral to advancing research excellence at King’s in the field of addiction science and supporting further development