16 algorithm-"Multiple"-"U"-"Simons-Foundation"-"Prof"-"UNIS"-"DIFFER" positions at KINGS COLLEGE LONDON
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colorectal cancer screening and treatment. They will contribute to the design of AI algorithms for polyp detection, tissue characterization, and visual guidance of robotic intervention. This is a full time
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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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Desirable criteria Experience of advanced statistical and/or machine learning methods, such as longitudinal analysis methods, latent variables models, clustering algorithms, missing data and clinical trial
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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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apply a novel single muscle cell (myofiber) omic platform — developed by the PI — to interrogate ALS pathogenesis at an unprecedented level of resolution. By simultaneously analysing multiple data sets
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the PI — to interrogate ALS pathogenesis at an unprecedented level of resolution. By simultaneously analysing multiple data sets (MANT-ATP, methylome, transcriptome and proteome) derived from the same
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healthcare technology. The post-holder will be proactive, capable of balancing multiple demands, and able to provide informed recommendations to project leads. Their responsibilities will include engaging and
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multiple demands, and able to provide informed recommendations to project leads. Their responsibilities will include engaging and enrolling London schools in the study, collaborating with PPIE groups
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of the project. This includes recruiting people with dementia, family carers and health and social care practitioners, conducting qualitative interviews, facilitating workshops with multiple stakeholders, and
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interviews, facilitating workshops with multiple stakeholders, and analysing data. You will also be involved in disseminating study results through peer-review publications, blogs, reports and social media