Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Harvard University
- The University of Queensland
- Central Michigan University
- Nature Careers
- Cornell University
- KINGS COLLEGE LONDON
- King's College London
- Monash University
- NTNU - Norwegian University of Science and Technology
- NTNU Norwegian University of Science and Technology
- OCAD University
- Ryerson University
- University of Oslo
- York St John University
- 4 more »
- « less
-
Field
-
] Subject Areas: high-dimenstional statistics, Machine Learning theory, Mathematical foundations of AI Appl Deadline: none (posted 2026/03/06 05:00 AM UnitedKingdomTime) Position Description: Apply Position
-
, machine learning and AI, statistical computing, big data and AI applications and prediction in biology, medicine and infectious diseases. Potential research projects include (but are not limited
-
applications for a Postdoctoral Fellow with Professor Pragya Sur. Professor Sur’s lab focuses on research in high-dimensional statistics, machine learning theory, or more broadly, mathematical foundations of AI
-
Salary: £48,822 to £59,966 (0.4 FTE £19,528 to £23,986 per annum pro rata) (0.2 FTE £9,764 to £11,993 per annum pro rata) Location: York. Part time, Fixed Term. Introduction to York St John
-
integration analytics, machine learning, and/or AI. In addition to carrying out research, the successful candidate will be expected to apply for fellowship funding, contribute to the writing of grants and
-
to machine learning algorithms in order to get uncertainty estimates for parameters governing the distribution of the observed data. The predictive Bayes scheme for uncertainty quantification contains a wide
-
postgraduate qualification in Data Science / Computer Science (PhD preferred) Strong expertise in Python and/or R, SQL, data engineering and machine learning Experience with EMR systems (Cerner highly desirable
-
Earth Engine, ENVI, MATLAB, or R. Desirable Proficiency in applying machine learning methods to multispectral and hyperspectral data for detecting crop diseases and estimating crop yield and quality
-
as world-leading or internationally excellent. We use this expertise to teach the next generation of health professionals and research scientists. Based across King’s Denmark Hill, Guy’s, St Thomas
-
(EHR), health information exchanges, and data analysis software. Experience with health IT innovation, including working with artificial intelligence, machine learning, telemedicine, or mobile health