Sort by
Refine Your Search
-
, generative models, or equation discovery — rather than traditional statistical techniques. Applicants should be fluent in Python, experienced with modern machine learning frameworks such as PyTorch
-
partners and stakeholders across countries, statistical offices, international agencies and Ministerial teams. This role would suit someone with a highly professional approach and a strong track record
-
reflection and learning. The postholder will engage with a range of WorldPop’s external partners and stakeholders across countries, statistical offices, international agencies and Ministerial teams. This role
-
integrate them into WorldPop’s workflows to construct high resolution national, regional and global demographic estimates. They will explore, test and validate novel statistical and AI methods, working with
-
have good organisational skills to ensure that the study database and statistical analysis of the data is clear, quality controlled and accessible to other members of the research team. This full-time
-
experimentation. Strong statistical analysis skills. Good skills in organisation, attention to detail, ethics, communication, and a balance of working independently and collaboratively. A developing publication
-
, statistical, and data management teams to ensure a seamless and effective workflow. Your work will involve developing and implementing bioinformatics pipelines from raw data, applying a range of advanced
-
a suit of fast electronics (FPGA) that will allow the following achievements: 1) To rapidly repeat single-particle experimental dynamical trajectories to gain sufficient counting statistics in order
-
node), Imperial College London, Queen Mary University of London, Durham University, and the University of Aberdeen - https://www.cs.ox.ac.uk/projects/AIHub/ . The programme offers an excellent