Gain hands-on experience in Medtech with Oncoustics AI as a Data Science and Machine Learning Co-op. This hybrid role focuses on machine learning model construction and collaboration with team members.

Oncoustics is seeking a student for an 8-month Co-op position in Toronto, focusing on applying AI to ultrasound data. Candidates should be in their second year or beyond in relevant fields such as engineering or computer science, with necessary programming skills. The role offers exposure to machine learning and signal processing, enhancing your technical skills in a cutting-edge workplace.

Key Responsibilities: • Construct machine learning models for classification tasks • Learn tools for feature engineering and signal improvement • Research modern methods in ML and signal processing • Collaborate effectively with the development team

Requirements: • Must be enrolled in an accredited Canadian University • Experience in Python and MATLAB coding • Completed at least second year in relevant undergraduate program

Bring your programming skills and passion for AI to Oncoustics' innovative projects in Toronto. #J-18808-Ljbffr

📌 Hybrid Data Science Co-op at Oncoustics (Winnipeg)
🏢 PulseMedica
📍 Winnipeg