102 engineering-computation "https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" uni jobs at Ulster University in United Kingdom
Sort by
Refine Your Search
-
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
-
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
-
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
-
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 basis
-
preceding 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
-
preceding 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
-
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
-
, financial technology, policy analysis, or academia. Ideal candidate: Background in computer science, data science, finance, economics, or related quantitative fields. Strong programming skills (Python/R
-
manufacturing engineering and biosensing enabling the fabrication of highly sensitive, room-temperature quantum sensors using scalable, low-energy processes. Essential criteria Applicants should hold, or expect
-
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