AI-Driven Histopathology Image Synthesis

Italian Ministry of Education, University and Research; Italia; On-site; EUR 42,000 - 54,000; Full time

Job summary

ALMA MATER STUDIORUM - UNIVERSITA' DI BOLOGNA - - DIPARTIMENTO DI SCIENZE MEDICHE E CHIRURGICHE is seeking a researcher to conduct literature reviews on generative models and synthetic data, and to develop methods for synthetic data generation from medical images and clinical data.

The role includes quantitative analysis and validation, as well as integrating multimodal and longitudinal data for benchmarking.

Qualifications

• Experience conducting literature reviews of mathematical and computational methods.
• Ability to develop and implement methodologies for synthetic data generation from medical images and clinical data.
• Experience in quantitative analysis and validation of synthetic data.
• Ability to integrate multimodal and longitudinal synthetic data.
• Contribute to benchmarking, validation and project deliverables within SYNTHIA.

Responsibilities

• Conduct literature reviews on generative models and synthetic data.
• Develop and implement synthetic data generation methods for medical images and clinical data.
• Perform quantitative analysis and validation of synthetic data results.
• Integrate multimodal and longitudinal data for benchmarking and reporting.
• Contribute to project deliverables within SYNTHIA.

Skills

Literature review

Synthetic data methods

Biomedical imaging

Longitudinal data analysis

Tools

Python

Job description

ALMA MATER STUDIORUM - UNIVERSITA' DI BOLOGNA - - DIPARTIMENTO DI SCIENZE MEDICHE E CHIRURGICHE is seeking a researcher to conduct literature reviews on generative models and synthetic data, and to develop methods for synthetic data generation from medical images and clinical data.

The role includes quantitative analysis and validation, as well as integrating multimodal and longitudinal data for benchmarking.