Sort by
Refine Your Search
-
Category
-
Program
-
Employer
- Trinity College Dublin
- University of Galway
- RCSI - Royal College of Surgeons in Ireland
- ;
- MAYNOOTH UNIVERSITY
- Technological University Dublin
- University College Cork
- Munster Technological University Cork
- Royal College of Surgeons in Ireland
- Technological University of the Shannon: Midlands Midwest
- University College Dublin, School of Agriculture and Food Science
- University of Limerick
- 2 more »
- « less
-
Field
-
3 Apr 2024 Job Information Organisation/Company University of Galway Research Field Mathematics » Statistics Researcher Profile Recognised Researcher (R2) Country Ireland Application Deadline 18 Apr
-
26 Mar 2024 Job Information Organisation/Company University of Galway Research Field Mathematics » Statistics Researcher Profile Recognised Researcher (R2) Country Ireland Application Deadline 10
-
valuable knowledge and experience rarely available. The successful candidate will lead and advise on the statistical approaches to be adopted with the TILDA data to ensure robust and accurate findings. Key
-
» Statistics Researcher Profile Recognised Researcher (R2) Established Researcher (R3) Leading Researcher (R4) Country Ireland Application Deadline 30 Jun 2024 - 17:00 (Europe/Dublin) Type of Contract Temporary
-
Post Summary This post is a Postdoctoral Researcher in Statistics position to collaborate on the Multi4More and LegacyNet projects. The successful candidate will support statistical analyses within
-
strong research record Enthusiasm for applied research Broad knowledge of relevant literature in applied behavioural science Capability with experimental and statistical software packages and techniques
-
portfolio within a range of projects within CONNECT. The researcher will also be part of the School of Computer Science and Statistics in TCD. The position will be under the direction of Prof. Marco Ruffini
-
within CONNECT. The researcher will also be part of the School of Computer Science and Statistics in TCD. The position will be under the direction of Prof. Marco Ruffini and Prof. Dan Kilper Please see
-
data-driven approach, involving data science/statistics/machine learning methods, and will be informed by clinical literature and practice. NOTE: Applicants must have been resident in an EU member state
-
sensing to teach and research key societal challenges. The post will also support the School’s close links with the two other E3 Schools: Computer Science and Statistics, and Engineering, and enhance