Adjungerad universitetslektor i Biomedicinsk bildvetenskap
Core
Adjunct professor role combining teaching and research in biomedical image analysis using machine learning methods.
Role type
Adjunct Professor (Biomedical Image Analysis)
Builds
Production ML models for medical image analysis (classification and segmentation) to assist orthopedists.
Domain
Biomedical engineering, Medical Imaging, Machine Learning
Deliverable
production ML models | research
Required skills
Doctorate degree, Machine learning (CNNs, Vision Transformers), Medical image analysis (MRI, X-ray, OCT, digital pathology), Image classification, Image segmentation, Dataset preprocessing, TensorFlow, Keras, PyTorch, English (teaching/research)
Preferred skills
Experience teaching machine learning courses, Experience developing ML course materials, Experience with large-scale patient datasets (hundreds/thousands), Collaboration with clinicians and engineers
Technologies
TensorFlow, Keras, PyTorch, MRI, X-ray, OCT, Digital Pathology
Responsibilities
Teach undergraduate and graduate courses in English, Develop teaching materials for machine learning courses, Conduct research on automatic analysis of medical images, Publish scientific results, Manage large medical datasets, Collaborate with orthopedists and engineers
Seniority
Senior, hands-on IC