Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- University College Cork
- MAYNOOTH UNIVERSITY
- University College Dublin
- MUNSTER TECHNOLOGICAL UNIVERSITY
- RCSI - Royal College of Surgeons in Ireland
- Trinity College Dublin
- Maynooth University
- Nature Careers
- Atlantic Technological University;
- Dublin City University
- Royal College of Surgeons in Ireland - RCSI;
- Technological University Dublin
- The CoReACTER (@ University College Dublin)
- University College Dublin;
- University of Galway
- 5 more »
- « less
-
Field
-
record of theoretical and technical work. Ideally, they will have experience in artificial intelligence or related areas such as machine learning and data analytics. Candidates with a background in other
-
sensing across telecommunications networks to deliver the performance level required by the multiple sensing applications. The applicants should have a solid theoretical background on machine learning
-
should hold a bachelor degree, with a good track record of theoretical and technical work. Ideally, they will have experience in artificial intelligence or related areas such as machine learning and data
-
, and machine-learning approaches to astrophysical problems. The post-holder will work with other academic staff, researchers, and students in the lively, collaborative, and international research
-
track record of theoretical and technical work. Ideally, they will have experience in artificial intelligence, creative arts or related areas such as machine learning and AR/VR. Candidates with a
-
. There will be a requirement to teach in undergraduate laboratories and tutorials as part of the scholarship. Tasks: The successful candidate will be involved in: 1. Applying first-principles and machine
-
skills training offered at RCSI, with a focus on the development and use of simulation technology to support learning. Specific Responsibilities include: Facilitate deliveryof teaching across varied
-
laboratories and tutorials as part of the scholarship. Tasks: The successful candidate will be involved in: 1. Devising and implementing algorithms for machine learning (ML) on hypergraphs generally and CRNs
-
case studies in Ireland, France and Poland. The project uses cutting-edge machine-learning techniques from computer science to unpack how populist actors engage with security themes. This will comprise
-
(piezoelectric micro-machined ultrasonic technologies) for biomedical imaging is highly desirable. The appointee will have a strong track record of delivering innovative research outcomes at the cutting edge