22 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Dr" "UCL" research jobs at Imperial College London
Sort by
Refine Your Search
-
Listed
-
Country
-
Program
-
Field
-
primary supervision of Dr Thomas Ouldridge. The student will develop predictive models of nucleic acid strand displacement rates to allow the rational design of complex networks of ever-increasing
-
by the Medical Research Council, that aims to improve the standardisation, modelling, and analysis of prescription data in Parkinson’s disease, with the goal of predicting medication-related side
-
healthcare interventions. You will design and deliver cost-effectiveness and budget impact analyses, analyse healthcare cost and outcomes data, and develop decision-analytic models. Working closely with
-
worldwide, and with the rise of antimicrobial resistance (AMR), the need for new preventive strategies is urgent. As a Fleming Initiative Clinical Research Fellow in Dr Dinesh Aggarwal’s group, you will be
-
culture with various staff networks and resources to support your personal and professional wellbeing. Further information This position is full-time and fixed-term for 12 months (with the possibility of a
-
supervisors Dr. Andrew Scott (imaging physics), National Heart and Lung Institute/RBH and Professor Denis Doorly (computational modelling), Aeronautics, Imperial. The research will develop our computational
-
for hardware control and data visualization. • Experience in working in wet-lab environment and/or dealing with food samples • Industry experience in product development and/or in vitro diagnostics is highly
-
of national health care provision through data-informed resource allocation and strategic planning and investment. The post is funded by the Wellcome Trust, and the post-holder will join a team based across
-
and optimisation but not limited to data driven monitoring for control and operation. You must have a good master’s degree in electrical engineering, with Power and Control Engineering major
-
modelling to address missing data and uneven data collection across different centres. Second, based on our recent deep learning biomechanics modelling work, you will perform cardiac biomechanical modelling