Role Description A postdoctoral fellow position in myelin biology is available in the laboratory of Ben Emery in the Jungers Center for Neurosciences Research at Oregon Health and Science University. The position is for the bioinformatic investigation of central nervous system remyelination and neuroglial interactions in mouse models and human datasets. - Run a research project investigating CNS cell interactions during remyelination, including the use of genetic models of demyelination, snRNA-sequencing, and histological analyses. - Regularly attend and contribute to laboratory and departmental meetings. - Contribute to the preparation of scientific manuscripts. - Keep abreast of the scientific literature relevant to the project. Qualifications - PhD in Neuroscience. - Relevant skills in rodent models of CNS injury, bioinformatics, and machine learning approaches to microscopy analysis. - Excellent documentation and written communication skills. - Able to perform the essential functions of the position with or without accommodation. Benefits - Oregon's only public academic health center. - Opportunities to learn and advance in a system of hospitals and clinics across Oregon and Southwest Washington. Company Description In addition to caring for patients, we lead groundbreaking research. We also train the next generation of health care professionals. All are welcome. OHSU welcomes people of all ages, ethnicities, genders, national origins, religions, and sexual orientations. We are striving to build an anti-racist, multicultural institution and encourage people with diverse backgrounds to apply. To request reasonable accommodation, contact askhr@ohsu.edu .

Role Description The Machine Learning Researcher is responsible for the development, evaluation, and optimization of machine learning and deep learning algorithms that support innovative digital dentistry solutions. This role focuses on advancing artificial intelligence capabilities through research, model development, and collaboration with cross-functional teams to translate cutting-edge technologies into high-impact product features. Working closely with software engineers, data engineers, product teams, and clinical experts, the Machine Learning Researcher contributes to the full machine learning lifecycle, including: - Data preparation - Model training - Validation - Deployment support - Intellectual property development Qualifications - Bachelor’s or master’s degree in computer science, Data Science, Mathematics, Statistics, Engineering, or a related STEM discipline. - Strong understanding of machine learning, deep learning, statistics, and applied mathematics. - Minimum of 3 years of experience developing machine learning solutions, preferably within a regulated medical device, healthcare, or life sciences environment. - Proficiency in Python and machine learning development workflows. - Hands-on experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras. - Experience with software development and best practices, including source control systems (e.g., Git). - Strong analytical and problem-solving skills with the ability to independently investigate complex technical challenges. - Demonstrated ability to learn new technologies quickly and contribute effectively within cross-functional teams. - Excellent written and verbal communication skills. Requirements - Define machine learning and data science requirements for new product features and capabilities. - Design, train, validate, and optimize machine learning models, with a focus on deep neural networks and computer vision applications. - Develop algorithms utilizing dental imaging data, including 2D and 3D radiographic images, CBCT scans, and intraoral optical scans. - Evaluate and improve existing machine learning models using state-of-the-art methodologies and published research. - Establish appropriate performance metrics, validation strategies, and error analysis approaches to ensure robust model performance. - Design and implement efficient algorithms and data structures for model training and inference. - Collaborate with software engineers and data engineers to improve data pipelines, data management processes, and model deployment workflows. - Define data requirements for training, validation, and performance evaluation. - Develop data preprocessing and postprocessing pipelines aligned with product and feature requirements. - Support the integration of machine learning solutions into commercial software products. - Monitor advancements in machine learning, deep learning, computer vision, and related research domains. - Assess emerging technologies and recommend opportunities for application within product development. - Contribute to intellectual property generation, including invention disclosures, patent applications, and technical documentation. - Collaborate with legal and intellectual property teams to support patent prosecution and maintenance activities. - Ensure development activities align with applicable quality management systems and medical device regulations. - Support documentation and validation activities required for regulated software products. Benefits - Primarily remote position with occasional travel as required. - Collaboration with global cross-functional teams across multiple time zones. - Participation in research, product development, and innovation initiatives supporting digital dentistry solutions. Company Description All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or disability. Employment Type: Full Time Alternative Locations: United States : Andover (MA) Travel Percentage: 0 - 10% Requisition ID: 21283

• Deliver multi-geography projects for healthcare organizations • Collaborate with Cloud, Software, and Data Engineering teams • Design, build, and evaluate healthcare solutions • Develop high-level solution architectures • Ensure responsible AI practices • Lead technical discussions and mentor senior resources • Contribute to a collaborative team culture

• Develop and adapt Deep Learning-based methods for NuRec world reconstruction, novel view synthesis, generative image and video modeling, scene completion, and neural rendering • Apply your extensive knowledge of Deep Learning tools and methods, 3D Computer Graphics, Computer Vision, and simulation • Prototype experimental solutions with Python, PyTorch, modern DL frameworks, and AI tools for fast RnD iteration • Improve the realism, consistency, and controllability of generated scenes, especially for viewpoints and trajectories beyond the originally captured sensor path • Build evaluation and agentic AI-assisted research workflows for quality triage, regression detection, experiment automation, and faster model iteration • Work with a team of researchers and developers to turn promising research results into robust, usable technology