53 machine-learning-phd-in-netherland Postdoctoral positions at University College Cork in Ireland
Sort by
Refine Your Search
-
diversity is celebrated. As a University we strive to create a workplace that reflects the diversity of our student population where people from a wide variety of backgrounds learn from one another, share
-
-centred AI applications. This position is highly interdisciplinary as it supports the advancement of data visualisation, machine learning, and artificial intelligence domains. The Post-Doctoral Researcher
-
the area constraint programming, machine learning, and artificial intelligence within an established group of researchers and PhD students. The nature and structure of the Phase 2 Research Ireland Centre
-
: • PhD in molecular biology, biochemistry, biotechnology, immunology or related field • Proven wet lab experience in NGS, qPCR, Western blotting, or immunofluorescence, molecular biology, cell culture
-
with the Principal Investigator Professor Cormac Sreenan and the gVID project Technical Lead. A suitable candidate will have a PhD, 8 years of research/industrial experience and a keen interest in
-
, Android, iOS) for searching and interacting with cultural heritage data. • Building machine learning models for word-based recognition and processing of Yunnan ethnic minority languages. The researcher will
-
, Mathematical Modelling and Self-Learning Systems, and Data Science and Analytics as well as a strong PhD programme. The Mathematics Group comprises nine permanent members of staff working across the areas
-
team. The scientist must hold a secondary degree in a relevant life sciences degree and a PhD in vaccine immunology. Experience in examining vaccine-induced immunity, multi-parameter flow cytometry
-
cancers and inflammatory conditions. The research project is supported by a Research Ireland-funded Frontiers for the Future Award programme. We are seeking highly motivated candidates with a PhD and
-
attainment. The ideal candidate will have a PhD in a relevant discipline, with strong community research and qualitative analytical skills, and a background in climate and/or energy transition