37 algorithm-development-"Multiple"-"Simons-Foundation"-"Prof"-"UNIS" positions at King's College London
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R&D Office. Contact details:Jessica Siddall. Jessica.siddall@kcl.ac.uk Location: Denmark Hill Campus. Category: Professional & Support Services. About us: The Joint Research and Development (R&D
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department lies at the heart of our commitment to cultivating world-class research and supporting the development of future leaders, in academia, research, education and beyond. A key element of this is King’s
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establish the School as a world leader in healthcare engineering. About The Role The Research Development Manager is a senior role within the School of Biomedical Engineering & Imaging Sciences, responsible
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the university, and with our external partners, to design, develop and deliver a wide range of educational programmes. Our learners study with us from across the world, choosing when and where they study, working
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staff alike. The Estates Planning & Development (EPD) team sits within the wider Estates & Facilities Directorate and plays a pivotal role in shaping the physical environment of the university. EPD is
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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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6. Desirable criteria Evidence of active collaboration with dry lab and co-development of algorithm for the prediction of epitopes. Downloading a copy of our Job Description Full details of the role
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Neuroscience Institute at the Denmark Hill Campus of King’s College London. About the role This is a collaborative project involving multiple laboratories and it aims to find drug targets for ALS and FTD. We
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change to delivery of health services. Experience with large datasets and excellent communications skills will be essential for this role. This role will involve developing and applying analysis plans
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-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