PhD and post-doc positions with deadlines in October/November
Modelling the multi-scale mechanobiological microenvironment of bone cells in metastatic cancer (UK students only!)
Queen Mary University of London - School of Engineering and Materials Science
Common cancers, such as breast and prostate cancer, are most deadly when they metastasise to other organs, with bone being by far the most common site. These lesions cause either hard bony tumours or empty voids, both of which degrade bone biomechanical properties and lead to complex fractures.
This project will build advanced multi-physics multi-scale models of damaged osteocyte networks, transforming our knowledge of metastatic bone disease and potential new treatments.
The successful candidate will develop finite element and fluid-structure interaction models using detailed scans of the microenvironment around bone metastases. Useful skills include:
(MRC DTP CASE) Development of an AI-driven algorithm based on acute diagnostic CT brain scans to predict recovery from intracerebral haemorrhage
The University of Manchester - Faculty of Biology, Medicine and Health
Intracerebral haemorrhage (ICH) represents a major cause of morbidity and mortality on a global scale.
Our overarching aim is to develop a practical, reliable, validated tool based on routine diagnostic CT brain scans to improve outcome prediction in acute ICH and test whether this may help identify patients likely to benefit from surgery.
Closing date: Friday, November 10, 2023
____________________________PhD position in Digital Twins for Healthcare
DT4Health is an innovative PhD program located at King's, in the heart of London, arising as a joint forces collaboration between the Healthcare Faculties and the Faculty of Natural, Mathematical & Engineering Sciences.
DT4Health is a technology-driven CDT that aims to build multidisciplinary bridges to clinical specialties. The CDT welcomes applications from outstanding candidates from a variety of backgrounds, who are enthusiastic about multi-disciplinary research and training to build the next generation of Digital Twins in healthcare.
PhD position on neuro-musculo-skeletal analysis of human movement in real time including muscle fatigue
University of Coruña
A pre-doctoral contract is offered (former FPI scholarships) at the University of Coruña (Spain), associated with the national project “Capture, reconstruction and neuro-musculo-skeletal analysis of human movement in real time, with consideration of muscle fatigue“, financed by the Ministry of Science and Innovation.
This project intends to analyze, in real time, any human movement in progress, obtaining information on not only kinematic magnitudes (position, velocity and acceleration of body segments and points in said segments), but also dynamics (joint torques, external reactions), including those that involve descending to the muscular level (excitations, activations and muscular forces, joint reactions, energetic cost, muscular fatigue). The results of this research are highly applicable in the thematic priority of Health, particularly in healthy exercise, rehabilitation, ergonomics and sport, providing tools for tutoring and activity monitoring (biofeedback), which facilitate the execution of movements according to a certain pattern, the follow-up of the user's evolution, the improvement of his technique, the prevention of injuries, etc.
Senior postdoctoral researcher in computer methods for European Research Council (ERC) Consolidator Grant O-Health
Prof. Jérôme Noailly - Universitat Pompeu Fabra, Barcelona, Spain
4-5-year postdoctoral position for our research line Computer methods for modeling based on finite elements and agents in multiscale simulations, within the context of the O-Health project.
Beyond the project, you shall become gradually responsible for the overall interoperability, reuse and verifiability of the models of the BMMB, according to the FAIR principles. Depending on the performance during the time of the project, professional consolidation at the DTIC will be encouraged.
More info HERE
PhD position Digital Twins in Healthcare: Credible Personalised Modelling of Orthostatic Hypotension
Faculty of Science, Mathematics & Computer Science - University of Amsterdam
The risk of falling and experiencing major complications increases significantly with age. It is estimated that one-third of individuals aged over 65 fall at least once a year, and among these incidents, 20% result in severe injuries. Orthostatic Hypotension (OH) is one of the most common cardiovascular risk factors for falls.
Tasks and responsibilities:
In this project you will enhance the generalised cardiovascular models and develop "personalised" models capable of predicting the fall risk of a person at an early stage. You will perform sensitivity analysis and inverse uncertainty quantification to parameterise the model based on stratified clinical data sets, followed by validation studies on other datasets. Drawing from detailed time-resolved beat-to-beat measurements of blood pressure, cerebral blood flow and cerebral oxygenation taken from individual patients, you will personalise the models. Finally, the short-time dynamics model will be coupled to the long-time clinical predictions of the risk of the patient to experience the OH-related falls in the next years by using statistical and AI-based models. For more information, please see here and references therein.
Your experience and profile:
Closing date: 30 November 2023
More info and application HERE