132 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" positions at King's College London
Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
strength is the interdisciplinary nature of both its research strategy and educational activities, providing unique opportunities for students and staff. You can find out more here: http://www.kcl.ac.uk
-
, Mathematical and Engineering Sciences can be found at the following links: [https://www.kcl.ac.uk/mathematics](https://www.kcl.ac.uk/mathematics ) https://ww.kcl.ac.uk/nmes This is a full time post (35 Hours
-
Faculty of Natural, Mathematical and Engineering Sciences can be found at the following link: https://www.kcl.ac.uk/mathematics About you To be successful in this role, we are looking for candidates to have
-
undergoing significant growth with substantial investment in new appointments, research infrastructure and laboratory space refurbishment. Further details are available at www.kcl.ac.uk/nmes and http
-
students, and offers an exceptional multidisciplinary environment for cutting-edge cardiovascular and metabolic research. Learn more about our school (https://www.kcl.ac.uk/scms ) Our research spans
-
, of which over 4500 were recruited to research. More information: https://www.kcl.ac.uk/bmeis About The Role This role provides an exciting opportunity for a dynamic and enthusiastic individual to join our
-
the role The PDRA will carry out research on probabilistic circuits (PCs) and tree-based machine learning methods for generative modelling, with a particular focus on responsible AI. The project builds
-
. This role will oversee a Phase 2/3 multi-arm, multi-stage (MAMS) trial evaluating the safety and efficacy of repurposed biosimilars and biologics in adults with epidermolysis bullosa (EB). https
-
such as: Systems security, Security engineering, Security testing, Computer forensics, AI for security and privacy, Security and privacy of AI. Our department addresses computer science challenges from a
-
, registers and other clinical studies Knowledge and practical application of various statistical packages, such as R and Python Ability to adapt and/or develop statistical and machine learning methodology