Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
of the interplay between future networks and new radio. The testbed includes indoor and outdoor 5G new radio, cloud, and optical transmission equipment deployed within Trinity College Dublin, around the Dublin
-
environment/network of the university more widely. In the evaluation of the applications, emphasis will be placed on: • PhD degree (awarded) in ethnomusicology, folklore or other closely related areas
-
evaluation. Previous knowledge of belief/trust for vehicular cooperative perception is a distinct advantage as is experience with algorithm development and networking simulation. Candidates should have
-
). This research, undertaken at the Discipline of Physiology of the Trinity Biomedical Sciences Institute, involves using electroencephalography (EEG) to measure changes in cognitive and motor network function in
-
and outstanding education are interlinked and equally valued. The All-Island Climate and Biodiversity Research Network (AICBRN) brings together researchers from a wide range of disciplines across
-
24 Months, Fixed-Term, Whole-Time Post Position Summary We invite applications for a Postdoctoral Researcher position in the field of Applied Mathematics (Dynamics of Adaptive Networks and Critical
-
communication network infrastructure. This role will lead efforts in the study of the methods for optimizing performance of future cellular communication networks. The research will identify the technical
-
FieldBiological sciences » OtherEducation LevelPhD or equivalent Skills/Qualifications Qualifications – (Essential): Applicants should have a PhD in a biomedical science subject. Knowledge & Experience – (Essential
-
of the complex networks that the project uncovers. They will be expected to carry out high-level research related to the aims of the research project, submitting publications regularly to refereed journals and
-
Project, which focuses on empowering Sustainable Energy Communities to actively participate in local energy markets and provide demand-side flexibility within a data-driven net zero carbon energy system