Are you interested in working in the field of digital pathology? Do you want to apply deep learning methods and image analysis in the field of bone marrow histopathology? Join this multidisciplinary project aiming to develop an automatic workflow using deep learning and transfer learning in order to quantify different compartments and automatically count the megakaryocytes within the human bone marrow tissue biopsy. Once developed the automatic workflow will be integrated within QuPath, an open source and user-friendly interface using Paquo, a pythonic interface for QuPath. Keywords: Deep learning, transfer learning, QuPath, Paquo, bone marrow, histopathology Collaboration with Rita Sarkis (EPFL/CHUV) and Olaia Naveiras (UNIL)