with multiple inter-dependent components. Demonstrated ability to effectively leverage AI assistive technologies, such as ChatGTP... in quantitative analysis of large datasets and working with pre-trained machine learning models is desirable but not essential...
Robotics Technologies in the School of Computer Science to work on a project led by the Institute of Mental Health at the... is an NIHR-funded initiative led by the School of Medicine, with a focus on improving the quality of life for people...
you will apply cutting edge lab technologies and Artificial Intelligence / Machine Learning tools to identify drug discovery targets... unmet medical needs, evaluate and apply novel experimental approaches and impact basic research and translational medicine...
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London | 05/03/2025 22:03:38 PM | Salario: S/. No Especificado | Empresa:
MSD/ Fellow to join the Cyber-physical Health and Assistive Robotics Technologies in the School of Computer Science to work... in Dementia) programme. About the LEND Project: This project is an NIHR-funded initiative led by the School of Medicine...
Robotics Technologies in the School of Computer Science to work on a project led by the Institute of Mental Health at the... is an NIHR-funded initiative led by the School of Medicine, with a focus on improving the quality of life for people...
is one of six Schools that make up the Faculty of Life Sciences & Medicine at King's College London. The School unites... of our research submitted to the Subjects Allied to Medicine (Pharmacy, Nutritional Sciences and Women's Health cluster) for REF 2014...
Fellow PhD (or equivalent experience) in Digital Health, Population Health, Epidemiology, Health Services Research, Medicine...) research in digital health Understanding of machine learning, AI, or big data analytics applied to health apps Experience...
) program (Funded by EU, GA: 101168976) entitled “Autonomous Scanning Probe Microscopy for Life Sciences and Medicine powered... scientific training in advanced scanning probe microscopy and machine learning and in their biological and medical applications...
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