PhD candidate to develop Deep Learning models for neuro-endocrine tumours of the lung (PNET-AID project)

At Erasmus MC we are working to improve today's healthcare and tomorrow's health. We are pioneering, pushing boundaries and leading the way in research, education and care.

The Dingemans group is themed around clinical and translational research of thoracic malignancies with focus on biomarker driven lung cancer and neuro-endocrine tumors of the lung.

The Department of Pathology and Clinical Bioinformatics of the Erasmus University Medical Center (Erasmus MC) delivers digital histopathology, immunohistochemical, next-generation sequencing (NGS) and integrated bioinformatics solutions that are essential for the diagnosis. The pathologists are involved in all tumour- multidisciplinary meetings (MDM's) in the Erasmus MC where pathology results provide the basis of clinical decision support in the care lifecycle.

The von der Thüsen group is themed around biomarker research in thoracic pathology, with a specific focus on multimodality integration, including radiology-pathology integration and genomic, proteomic and multiplex immunohistochemical analysis. The Stubbs Group, in the department, develops DL applications for diagnostics and prognostics of cancer (including prostate, lung, pancreas and skin) and transplant rejection. Dr. Li and Dr. Stubbs have developed a deep learning framework, Multi-Omics DEep Learning for Prognosis-correlated subtyping (MODEL-P) in a previous Hanarth Fonds-funded research program to deliver prognostic and predictive models for personalized (neoadjuvant) treatment in collaboration with Prof. C. van Eijck (Department of Surgery). Ongoing image and multi-omics deep learning projects include integrative, multi-modality analysis to predict disease progression (i-MAP) in collaboration with Dr. von der Thüsen in relation to lung cancer prediction and COVID-19.

You will be appointed at the department of pulmonary medicine and will be embedded in the Stubbs Group and responsible to Dr. Jan von der Thüsen (Pathology), Prof. dr. Dingemans (Clinical) and Dr. Yunlei Li (Bioinformatics).