56 algorithm-development-"Prof"-"Prof" Postdoctoral positions at KINGS COLLEGE LONDON
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demonstrated ability to work within a geographically distributed networks of collaboration Proven experience in developing and implementing machine learning models and algorithms, ideally in the healthcare
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algorithms, ideally in the healthcare or mental health domain Desirable criteria Track record of successful research grant applications, or attempts to obtain grant funding. Previous development of ML-based
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currently leading the NeuroHand project—a UKRI-funded programme focused on the development of a soft robotic exoskeleton glove for stroke rehabilitation. The role provides an exciting opportunity
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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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image acquisition capabilities. Together, we are developing next-generation Ai-assisted robots for colorectal cancer treatment. About The Role EndoTheranostics aims to transform the screening and
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. They are currently working on innovative approaches to non-invasive biomarker sampling via the skin, the use of natural compounds to modify skin keratinocyte function, development of topical formulations that generate
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and excellent computing infrastructure and expertise in AI. Our career development emphasizes on training in relevant new skills and mentoring to support the pursuit of independent funding. This is a
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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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environment at the Pears Maudsley Centre, with access to extensive neuroimaging, genomic, and clinical datasets and excellent computing infrastructure and expertise in AI. Our career development emphasizes
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project, an ambitious programme developing medical-grade nanoneedle bandages to deliver life-changing gene therapy for patients with recessive dystrophic epidermolysis bullosa (RDEB). This is a unique