Sort by
Refine Your Search
-
), alongside experience working with large-scale biological, clinical or imaging datasets and experience building or maintaining data pipelines (e.g. ETL processes). You will be proficient in Python and relevant
-
The Nuffield Department of Population Health undertakes world-leading research into long term, chronic health conditions, operating large-scale long-term studies and projects to identify the causes
-
have proven experience working in a large, busy finance department and must be capable of effectively managing a small team. Further information on this role can be found in the job description. At Saïd
-
financial assurance and counter-fraud activity across a large, complex organisation, working closely with Finance colleagues and departments across the University. Location: Great Clarendon Street, Oxford
-
, Rwanda, and Ethiopia). The group will work with partner organisations, including local governments and the NGO GiveDirectly. There are several large-scale randomized controlled trials and large-scale data
-
issues in handling large datasets, and collecting data and undertaking appropriate analysis of data. Informal enquiries can be addressed to Prof. Stefan Piechnik - stefan.piechnik@cardiov.ox.ac.uk For more
-
programme. You will specifically be located in the Barnes group, but you will also work across large Interdisciplinary team going from antigen discovery to human cancer prevention studies. You will be part of
-
management and analysis of large-scale datasets to address joint GSK-Oxford hypotheses, working with academic, clinical and industry colleagues. They will help to develop and maintain computational pipelines
-
boundaries of what robots can achieve. Our work spans diverse domains — from flying and grasping to driving and exploring — and we are the only group in the UK specialising in large-scale mobile autonomy, both
-
to running, from haptics to driving, from exploring to planning. We are the only group in the UK that specialises in large-scale mobile autonomy - both indoors and outdoors. We validate our thinking and