25 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" research jobs at King's College London
Sort by
Refine Your Search
-
, CPRD) or hospital electronic health records Experience with data linkage and working with routine healthcare data Experience with machine learning or AI applications in healthcare settings Advisory
-
with data linkage and working with routine healthcare data Experience with machine learning or AI applications in healthcare settings Advisory or consultancy experience Understanding of implementation
-
CANDIDATES ONLY About Us The applicant will join the Imaging Machine learning And Genetics in Neurodevelopment (IMAGINE) lab, in the Research Department of Biomedical Computing. We are a highly collaborative
-
, and human-centred computing. You will join the Vision & Human-Robot Interaction (VHR) Lab, a multidisciplinary research group working at the intersection of robotics, machine learning, and human
-
: Essential criteria Be enrolled in or hold a first degree in biomedical engineering, robotics, or relevant discipline. Possess sufficient specialist knowledge in computer aided design, systems integration, and
-
-design workshops, interviews, requirements gathering, data curation/annotation activities, and contribute to the design and evaluation of human–computer interface prototypes through design sprints and
-
evidence of contribution to effective clinical audit and clinical risk management Excellent computer literacy (email, Microsoft Word, Excel, databases). Desirable criteria Post/approaching CCT in dermatology
-
tasks Ability to work both independently and collaboratively in a multidisciplinary team, with strong problem-solving skills and ability to take his/her own initiative Computer literate with advanced Word
-
Charter, Stonewall Diversity Champion, and Disability Confident Employer. We are also proud signatories of the Armed Forces Covenant. Further Information For informal enquiries, contact Dr Rupam Das
-
imaging programme which includes high resolution functional imaging studies; simultaneous EEG-fMRI studies of infant learning; the development of novel MR imaging methods on a portable ultra-low field