20 algorithm-development-"Prof"-"Prof"-"Prof" research jobs at University of Newcastle
Sort by
Refine Your Search
-
discussion with dermatology principal investigators, based on your research interest. With appropriate support, you will develop a fundamental or translational dermatology project based around topics of
-
close collaboration and discussion with dermatology principal investigators, based on your research interest. With appropriate support, you will develop a fundamental or translational dermatology project
-
Institutes here: https://www.ncl.ac.uk/medical-sciences/research/institutes/ As part of our commitment to career development for research colleagues, the University has developed 3 levels of research role
-
researcher development training as part of multi-institution cohorts. Additionally, there is financial support to attend national and international conferences. The position is available immediately on a full
-
applications for an Early-Career Clinical Research Fellow in Patient Safety. This is an integrated clinical academic (ICA) career development role. The post holder is expected to become a next-generation leader
-
formulations to provide functionalities including pH, stability and viscosity control, sensory profile, texturing and structuring. In this project, we are seeking to develop the next generation of biopolymer
-
training and career enhancement activities, including the development of skills relevant to wider responsibilities Knowledge, Skills and Experience Experience with a paediatric caseload including preschool
-
contemporary treatment protocols. In collaboration with a commercial company, we will develop an NGS assay to screen a cohort of ~1,200 patients using existing samples. You will contribute to the design of
-
well as vascular and cancer researchers based in Newcastle, Leeds and Sheffield. This project will provide an opportunity to develop and expand the fast-growing research area of cardio-oncology, with a unique angle
-
work on the development and implementation of machine learning models aimed at detecting urban drainage infrastructure components (such as stormwater drains, sewers, and manholes) from publicly available