Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
Project title: Developing and Evaluating Interpretable Approaches for Human-Centered Machine Learning.Project description: Approaches in interpretable machine learning offer promise in understanding
-
, motivation to learn new skills as well as excellent written and oral skills is essential.Example publications from the Lab:•Detection of host cell microprotein impurities in antibody drug products. 2024 Nature
-
; Maynooth University, National University of Ireland Maynooth | Maynooth, Leinster | Ireland | about 8 hours ago
, Irish History, Military History and Strategic Studies, and Local History). It also houses two European Research Council projects. Applicants are invited to familiarize themselves with the Department by
-
critical component analysis, and (iii) development of Automation of ML model and data selection. The applicants should have knowledge of machine learning and optical networks and willing to engage in testbed
-
Ireland’s acoustic environment to 2050, engage citizens in large-scale noise monitoring and design the next generation of mitigation solutions. We are now recruiting three inter-linked PhD researchers, each
-
perceive that others stigmatise them, but they may anticipate experiencing discrimination if their stigmatised status becomes known, and internalise stigma, where negative stereotypes about the stigmatised
-
. The scholarship holder will normally be expected to reside in the Munster region and may have opportunities to teach or tutor while undertaking their PhD (which would be remunerated separately). It is not possible
-
of Galway’s community. Living allowance (Stipend): €25,000 per annum [tax-exempt scholarship award] over four years. Computer equipment and funding for travel (e.g. to conferences), as well as attendance
-
diversity of our student population where people from a wide variety of backgrounds learn from one another, share ideas, and work collaboratively. UCC is committed to being an employer that recognises
-
technology entrepreneurship education, and (ii) the use of immersive and studio-based learning in these educational contexts. Quantitative study of the wider context of science and technology entrepreneurship