019936 Data Scientist, UCD School of Physics, Fixed-term post until 14 April 2028
Core
Lead the development and validation of machine-learning models for a miniaturized haematology analyser to classify and count blood cells from microscopy images.
Role type
Senior IC machine-learning engineer (medical imaging)
Builds
A miniaturized haematology analyser with automated blood cell classification and differential counting capabilities.
Domain
Healthcare diagnostics / Medical imaging / Machine Learning
Deliverable
production ML models
Required skills
Vision Pre-trained Transformer (VPT) model development, label-free microscopy image analysis, machine learning model training and optimization, statistical analysis, model benchmarking, dataset curation
Preferred skills
Experience with commercial and miniaturized imaging systems, knowledge of haematology analyser validation
Technologies
Vision Pre-trained Transformers (VPT), microscopy imaging systems
Responsibilities
Develop and fine-tune VPT models for blood cell classification, curate and analyze microscopy datasets, optimize models across different imaging systems, evaluate model accuracy and robustness, benchmark results against commercial analysers (via careerplan.io/jobs/4562497-019936-data-scientist-ucd-school-of-physics-fixed-term-post-until-14-april-2028-at-univers)
