22 parallel-and-distributed-computing-phd-"Meta"-"Meta" positions at Queen's University Belfast
Sort by
Refine Your Search
-
meet the following essential criteria: Have or about to obtain a PhD degree in Computer Science, Computational Biology or other relevant discipline (*must be obtained within 3 months of commencement of
-
Federated learning (FL) is a privacy-preserving distributed learning paradigm that allows different clients to create a shared AI models without having to share their data. Despite these advantages
-
obtaining, a PhD in computer science, engineering, mathematics, or a related physical sciences discipline, with research expertise in areas such as hardware-aware AI security, approximate computing, or secure
-
of SAXS/WAXS and Total Neutron Scattering (TNS), particularly in the area of Liquids and Disordered Materials research, while developing a personal and collaborative research programme in an area relevant
-
within the Queen's Communities and Place (QCAP) initiative, ensuring successful delivery of the QCAP research, evaluation, and knowledge exchange programme. This role will focus on developing and
-
The purpose of this role is to support the work of the RICHeS programme at QUB providing research and access to archaeological and heritage science. The RICHeS Scientist (Research Fellow) will be a
-
and artificial intelligence is genuinely research-informed. About the person: The successful applicant must demonstrate the following: Hold or be about to obtain a PhD in Mathematics, Physics
-
a relevant PhD. in Civil Engineering. Specific, relevant research experience in population-based SHM of bridges to include: Proven track record of working with infrastructure owners to organise field
-
for. The successful candidate must have the following education/qualification requirements: Primary Medical Degree. Higher degree (PhD, MD or equivalent). Full Registration with the GMC (or eligible for full
-
. About the person: Essential Criteria: Honours Degree in Mechanical or Aerospace Engineering. Hold, or be in the process of completing, a PhD in Mechanical, Aerospace or Manufacturing Engineering