Sort by
Refine Your Search
-
Listed
-
Country
-
Program
-
Employer
- ;
- King's College London
- University of London
- Clackamas Community College
- Pfizer
- KINGS COLLEGE LONDON
- St George's University of London
- Medical Research Council
- University College London
- University of Greenwich
- ; Birkbeck, University of London
- ; The Medicines And Healthcare Products Regulatory Agency
- Kingston University
- McGill University
- Royal College of Physicians
- University of Connecticut
- 6 more »
- « less
-
Field
-
should have substantial research experience in machine learning, statistics and bioinformatics and will develop models for biological age prediction from multiple image derived phenotypes. Expert knowledge
-
clinical trials. The George Institute wishes to further develop its impact by focusing on efficient, patient-centered clinical trials. This is to be supported by the application of novel statistical and data
-
and scale up of API manufacturing processes. You will design and perform engineering-related laboratory experiments , in combination with process simulation and statistics. Strong communication , high
-
equivalent professional experience in a field with significant use of both computer programming and advanced algorithmic, statistical or numerical techniques. Direct experience developing and deploying
-
design, conduct, analyse and publish clinical trials and other well-designed studies led by UCL Chief Investigators. The CCTU provides clinical, statistical and trial operations and facilitates
-
in political science, economics, finance, statistics, data science, public policy or in a related discipline. You should be able to demonstrate an excellent knowledge of R and Python programming and
-
user of Excel and statistics packages such as SPSS. They will be proactive in their approach to work and will be able to work both independently and as a part of team to meet agreed targets and deadlines
-
, computational and statistical tools. This advertisement is for a Research Associate in Land Surface Modelling, who will be responsible – in collaboration with a parallel role at the University of Reading
-
the knowledge and ability to teach across a range of topics in actuarial science, in particular the Core Statistics and Core Modelling subjects (CS1, CS2, CM1, CM2). About the School/Department
-
of a 3-year program using cardiovascular MRI to assess modifiable mechanisms of aging. Applicants should have an established track record of research in machine learning, statistics and bioinformatics