161 associate-professor-computer-science-"https:" "https:" "https:" positions at Ulster University
Sort by
Refine Your Search
-
Listed
-
Category
-
Field
-
aligns with the Department for the Economy’s (DfE) priorities to foster innovation in health and life sciences, promote productivity, and support a healthier population capable of contributing
-
, 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
-
the start date of the research degree programme. Applicants who already hold a doctoral degree or who have been registered on a programme of research leading to the award of a doctoral degree on a full-time
-
for more than one PhD studentship are welcome, however if you apply for more than one PhD project within Biomedical Sciences, your first application on the system will be deemed your first-choice preference and
-
quarter of families reported borrowing money to meet these costs, rising to 50% among unemployed parents/guardians. This PhD provides an opportunity to address these pressing challenges through a programme
-
charts available within the PreMO risk stratification app (a free cloud-based UKCA and CE-marked application developed by the research team at Ulster University https://myopiaonset.com) to extend its
-
programme of work. Applicant Requirement: Experience of co-construction work with children, experience of running psychoeducational groups AccessNI clearance required Please note, the successful candidate
-
, regardless of residency or domicile. Applicants who already hold a doctoral degree or who have been registered on a programme of research leading to the award of a doctoral degree on a full-time basis for
-
foundations (e.g. concrete piles). These dual purpose ‘energy piles’ offer a sustainable and scalable solution for harnessing geothermal energy from underground soils and rocks, whilst serving as structural
-
with staff involved in PD-LIFE’s Technology workstream, which focuses on AI-driven interpretation of sensor data collected during physical activity and dance interventions. Funding and eligibility