17 evolution "https:" "https:" "https:" "https:" "https:" "Argonne" Fellowship positions in Ireland
Sort by
Refine Your Search
-
Applications are invited for the following position: Title of Post: Research Fellow in Best-Practice AI-Supported Code Development Pedagogy JOB SYNOPSIS The successful candidate will design and
-
AMBER -Industry partner collaborative funded research position: The postdoctoral research position will be based in the Lally Lab (http://www.lallylab.eu) within the Trinity Centre for Biomedical
-
to appoint to the above post located within the HRB CRF-UCC. This is a part-time post, 2 days per week. UCC is Research Fellow will work within a team tasked with the development of a suite of online
-
to continuously grow and support their overall career development. About the Project This position is funded through the FEDER-CAN (Quantifying "Missed Opportunities" in Cancer Diagnosis via Federated Analytics
-
work within a team tasked with the development of a suite of online programmes within a defined-time period, and assistance with the delivery of these programmes via Canvas. The post will include
-
Leadership and Management Committee, the Research Fellow will be expected to contribute to the development the programme for maximising breastfeeding support research in the School of Nursing and Midwifery
-
. development of patents, prototypes. *Industry collaboration or experience. *Experience working with Government agencies, nationally or internationally. Selection process https://www.ucd.ie/workatucd/jobs
-
on the development, implementation and evaluation of protocols and pathways to improve access to orthopaedic services for children with cerebral palsy attending community disability and primary care services
-
AMBER -Industry partner collaborative funded research position: The postdoctoral research position will be based in the Lally Lab (http://www.lallylab.eu) within the Trinity Centre for Biomedical
-
focuses on software development using LLM-generated code. It will evaluate students’ ability to evaluate the correctness and computational efficiency of LLM-generated code, including whether more efficient