68 engineering-computation-"https:"-"https:"-"https:"-"https:"-"https:" positions at Ulster University in United Kingdom
Sort by
Refine Your Search
-
Listed
-
Category
-
Field
-
glioblastoma (GBM) patient-derived tumour models using an engineered extracellular matrix (ECM) tissue mimic hydrogel system and HTP 3D bioprinting. Gene expression analysis from a GBM patient cohort will be
-
technology, and mixed-methods research. This is an excellent opportunity to contribute to a project with clear, tangible relevance to regional health strategy and clinical practice. Important Information
-
the country’s net zero solutions and deliver substantial economic benefits. Recent advances in geothermal energy include integrating closed-loop ground source heat pump systems into civil engineering
-
, design, and problems, Heliyon, 2023. Zhao et al. Patient-specific computational simulation of coronary artery bifurcation stenting, Scientific Reports, 2021. Khan et al. 3D printing technology and its
-
Summary The Law research unit at Ulster University invites PhD proposals from applicants in our emerging research specialisms of legal technology, ethics and medical law. Ulster’s Centre for Legal
-
. This project is available in the Computer Science Research Institute and is tenable in the Faculty of Computing, Engineering and the Built Environment, at the Magee campus. The PhD researcher will be based
-
Rehabilitation Engineering, establishing a strong platform for advancing this field. Building on this record, this PhD project will: Build computational models of astrocyte-neuron interactions, incorporating
-
explore how this programme could also work for children with SEN and complex needs, and engage parents and families more directly. Aim: To explore the impact of a school based PL programme for children with
-
Development of smart clothing for physiological monitoring of children with heart conditions at home
technology into smart textiles, with design suitable for wear by small infants. Monitoring will track breathing, heart rate, arrythmias and oxygen levels to provide clinical feedback and parental reassurance
-
intraoperative feedback on these risks. The project will combine biomedical engineering, signal processing, and clinical collaboration to design a non-invasive ultrasound monitoring system capable of quantifying