Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- University of British Columbia
- LINGNAN UNIVERSITY
- ;
- Nanyang Technological University
- Rutgers University
- The Rockefeller University
- Cardiff University
- Ryerson University
- University of Arkansas
- University of North Texas at Dallas
- Aston University
- Barnard College
- CRANFIELD UNIVERSITY
- DURHAM UNIVERSITY
- East Carolina University
- Fraunhofer-Gesellschaft
- George Washington University
- Harvard University Medical School
- McGill University
- Oak Ridge National Laboratory
- Oregon State University
- Pennsylvania State University
- SAIT Polytechnic
- Swansea University
- The Chinese University of Hong Kong
- The University of Alabama
- The University of Queensland
- UNIVERSITY OF EAST LONDON
- University of Adelaide
- University of Alabama at Birmingham
- University of California Davis
- University of California, San Diego
- University of Canterbury
- University of Dayton
- University of London
- University of Oxford
- University of Stirling
- University of Tennessee at Chattanooga
- Virginia Tech
- Wayne State University
- 30 more »
- « less
-
Field
-
or related discipline to develop their data analysis and modelling skills and experience, applied to the field of health economics. We wish to encourage people who have strong quantitative skills who may be
-
working full-time. An exciting opportunity has arisen for a talented graduate in a quantitative STEM, psychology, health or social sciences or related discipline to develop their data analysis and modelling
-
offers the chance to work with zebrafish disease models, explore new therapeutic targets, and gain invaluable experience in experimental techniques such as CRISPR gene editing, in vivo imaging, and
-
-source software packages. As a Research Assistant, your primary duty will be to support the analysis of real-world data mapped to the OMOP Common Data Model, contribute to wider project planning, including
-
microbes chemically/physiologically. Computational work could include genomic analyses, machine learning, and simple mathematical modeling approaches. Responsibilities Responsibilities include the following
-
. Develops and applies numerical and statistical models to better understand and predict flood risks in coastal environments, including the integration of hydrodynamic, climatic, and socio-environmental data
-
model for innovative medical education and a centre for transformative research. The School’s primary clinical partner is the National Healthcare Group, a leader in public healthcare recognised
-
optimisation techniques and AI-based models to support decision-making in microgrid design and operation. Working in collaboration with a leading global mission critical firm of engineers, this project offers
-
on pluripotent stem cells and role of BET proteins in inflammation and other diseases. We use a wide range of technologies including molecular biology, cell biology, conditional KO mouse models, computational
-
cellular immunology. The incumbent will also be involved in the oversight of multiple in vivo mouse models of disease. The Research Assistant Technician will maintain important mouse colonies, assist with