17 computer-engineering-network-"https:"-"ESO---European-Southern-Observatory" positions in Ireland
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
+ Water, a €41 million cross-border research programme launched in 2024. The programme is funded by Research Ireland, DAERA (Northern Ireland), and UK Research & Innovation and involves around 60
-
, Computer Science, Electrical/ Telecommunications Engineering, Mathematics, or related field. Ability to conduct research in an academic or commercial environment. Expertise in optimization techniques, graph theory
-
sustainability and climate curriculums and educational resources. Candidate Profile • A PhD in environmental engineering, computer science, data science or similar • Highly motivated, detail orientated and
-
, or being resident in an EU Member State since at least five years, and be admitted to the PhD programme in College of Science and Engineering, please consult: https://www.universityofgalway.ie/science
-
1 Mar 2026 Job Information Organisation/Company South East Technological University Department Walton Institute Research Field Computer science Researcher Profile First Stage Researcher (R1
-
1 Mar 2026 Job Information Organisation/Company South East Technological University Department Walton Institute Research Field Computer science Physics Mathematics Researcher Profile First Stage
-
Per Week 40 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description PhD
-
centre is within the School of Computer Science & Information Technology (CSIT). The Centre comprises approximately 50 people working on networks, security and systems research. CSIT is a large, research
-
technology in the exciting and quickly developing generative AI area. Project Title: Automatic Video Commercial Generation Service (gVID) Post Duration: 16 Months Where to apply Website http://www.ucc.ie/en
-
production at LHCb https://arxiv.org/pdf/2507.13447 - Theory-Informed Neural Networks for Particle Physics. Knowledge & Experience Essential Background in high energy particle physics and/or advanced quantum