Associate in probabilistic machine learning for modelling biological systems. The post-holder will join a team... learning methods for modelling high-resolution spatio-temporal data (e.g. live cell imaging and spatial transcriptomics...
University of Manchester”. They will be responsible for developing and applying probabilistic machine learning methods for modelling high-resolution spatio-temporal data... in approaches that combine data-driven modelling (machine learning) with mechanistic modelling (systems biology). Models...
University of Manchesterand passionate people to apply machine learning, statistical, and econometrics methods to business problems. You'll contribute to the... to facilitate testing of algorithms on large data sets. · Good understanding of machine learning techniques, with applications...
dunnhumbyof machine learning models and statistical techniques, including validation. An understanding of data analytics and data...As a Data Science Engineer, you'll be actively involved in development of mission critical technical solutions...
Rokeunder tight timescales Experience with Machine Learning or Robotics tools (preferred) At BNY Mellon, our inclusive culture... requirements are clearly defined, developed (in conjunction with technology), tested, and implemented. Data is a crucial part...
BNY Mellon, interactive dashboards, machine learning models, as well as carrying out statistical analysis and deriving valuable insight... and appropriate offers to solve their problems. Current and past tasks range from using machine learning to extract causality...
Systraworkflow and benchmarking against available data. The project will involve the use of machine learning methods and molecular... University of Manchester from October 2024. The use of machine learning methods and molecular simulations for polymer design...
University of Manchester