Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
with the ARIA Safeguarded AI programme project “Data-Parallel Proof Checking for Monoidal Theories”, led by Professor Fabio Zanasi within the Programming Principles, Logic and Verification (PPLV
-
EU grant funded project and will be involved in the development AI supported diagnostic tools and assessing off-the-shelf AI-assisted technology for ophthalmic analysis and data capture, in close
-
models, implementing the best available technology for the job at hand and striving for excellence in data quality to help meet the scientific aims of the UK DRI. You will be involved in providing
-
rare opportunity to work across the complete development chain of a medical device: from designing the sensors, through the readout electronics and data analysis, to integrating the system with
-
range of imaging platforms. You will contribute to the safe and effective collection of data across a variety of cognitive neuroscience studies, with a particular focus on supporting study participants
-
contribute to a research agenda in the following two potential directions: • Led by Dr. Kenan Arifoglu, Dr. Aras Selvi: research on end-to-end synthetic data generation and decision making under
-
systems engineers, dev-ops specialists, data scientists and data stewards - who support and collaborate in the delivery of UCL research. Further information about working in ARC can be found on our
-
responsible for the oversight of a portfolio of studies, and lead in all communication to support recruitment, the reporting of clinical events, the collection of quality controlled data and effective
-
improve epidemic preparedness in Sub-Saharan Africa by strengthening epidemiology and data science capacity. CCM supports training in infectious diseases and bioinformatics. Together, these programmes
-
UCL and help promote a culture of engagement, innovation and continuous improvement. You will also use data, feedback and insight to monitor programme outcomes and evaluate impact, preparing reports