35 Computer-Science "University of Illinois at Urbana Champaign" research jobs at University of London
Sort by
Refine Your Search
-
global primary care and public health. About You You will have PhD or equivalent experience in bioinformatics, statistics, epidemiology, or a relevant field such as computer science, operational research
-
Department: School of Engineering and Materials Science Salary: £40,223 per annum (Grade 4) Reference: 2265 Location: Mile End Date posted: 9 May 2024 Closing date: 9 June 2024 Further details and
-
postgraduate degree, ideally a doctoral degree, in a relevant topic. The role requires skills and expertise in data science, statistics, and quantitative epidemiology. The position is based within a research
-
View All Vacancies Clinical Science and Services Location: Hawkshead (nr Potters Bar, Herts) Salary: £38,721 to £49,521 Inclusive of London Weighting 18 Months Fixed Term / Full Time Closing Date
-
View All Vacancies Department of Computer Science Location Egham Salary £39,233 per annum - including London Allowance Post Type Full Time Closing Date 23.59 hours BST on Thursday 06 June 2024
-
Department: School of Engineering and Materials Science Salary: £36,572-£37,182 per annum pro rata Reference: 2222 Location: Mile End Date posted: 13 May 2024 Closing date: 27 May 2024 Further
-
Actions (IMMANA) programme . The role will support both IMMANA and the ANH Academy, by undertaking original analysis and synthesis of research in agriculture and food systems for improved nutrition. Duties
-
strategy to conduct research and be involved in advising across a range of research projects as part of our ambitious R&D and innovation programme. The post will seek to advance knowledge in inclusive and
-
expertise spanning biostatistics, environmental epidemiology, data science, statistical computing and climatology. Candidates are required to either have an undergraduate degree in statistics or epidemiology
-
computing, AI, biomedical engineering or signal processing) or a higher degree (e.g. MSc) with substantial experience in multimodal machine learning with appropriate track record. Excellent programming skills