Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
comprehensive programme of initiatives to support an inclusive environment and culture, and promote diversity across our staff and student communities, as well as the leadership of the Faculty. King’s is one
-
, Bayesian Statistics with a focus on nonparametric methods, Bayesian Computational Methods, Extreme Value Theory, Biostatistics, Probabilistic machine learning, Medical sciences and engineering applications
-
and knowledge and to help prepare them for developing as a medical professional. This is achieved through campus-based sessions throughout the medical degree programme and working in conjunction with
-
About us King's e-Research department supports cutting edge computational and data intensive research across all disciplines at the College by providing both infrastructure and expertise within our
-
About Us Join a vibrant world-leading Software Systems research group at the Department of Informatics, King’s College London. We are an international, diverse, and inclusive group of about 40
-
research programme, the first of its kind in the world, supported by Inkfish with £35M core funds over six years, starting in April 2025. It is a global study of 60,000 participants, including 20,000 mothers
-
, implementation of the direction and scope set for university’s asbestos management programme. Do: support management reviews (to include physical and desktop inspections), provision of asbestos management advice
-
engineering and physics laboratories, high-performance computing, and industry collaboration through the London Institute for Healthcare Engineering. Activity will also take place at the Evelina childrens
-
About us A post-doctoral research associate position is available at the Photonics & Nanotechnology group, Physics Department, King’s College London, funded by the EPSRC Programme Grant New
-
About us A post-doctoral research associate position is available at the Photonics & Nanotechnology group, Physics Department, King’s College London, funded by the EPSRC Programme Grant New