161 computer-science-quantum "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" "U.S" positions at Ulster University
Sort by
Refine Your Search
-
Listed
-
Category
-
Field
-
applicants from diverse academic and professional backgrounds, including (but not limited to): Film, Television, and Media Studies Artificial Intelligence and Computer Science Creative Arts and Practice-based
-
offered admission on a self-funded basis. Applicants who already hold an MRes or a doctoral degree or who have been registered on a programme of research leading to the award of an MRes or doctoral degree
-
admission requirements may be offered admission on a self-funded basis. Applicants who already hold an MRes or a doctoral degree or who have been registered on a programme of research leading to the award
-
Summary Applicants are invited to undertake a 3 year PhD program in partnership with a global leader in blood- and cell-based therapies (Terumo Blood and Cell Technologies Ltd). This opportunity
-
as part of TRACE (Technological Revolution towards an Agri-food Circular Economy), a €5.89m cross-border project supported by the European Union’s PEACEPLUS Programme and managed by the Special EU
-
wide range of disciplines including engineering, chemistry, mathematics, and computer engineering. The diversity of this research theme means that the student will potentially cross these disciplines
-
Summary This research theme investigates how artificial intelligence, multimodal sensing, and spatial computing can be harnessed to improve early detection and monitoring of neurological and mental
-
admission requirements may be offered admission on a self-funded basis. Applicants who already hold an MRes or a doctoral degree or who have been registered on a programme of research leading to the award
-
Molecular dynamics simulations High-field NMR spectroscopy Ideal for students excited by computational biophysics and structural biology, with strong career prospects in academia, biotech, and AI-driven drug
-
Summary Positioned within Ulster University’s School of Computing, this research theme focuses on harnessing artificial intelligence and spectral technologies to strengthen food integrity and