Research Fellow in Surgical AI
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* . The position involves conducting original research, designing experiments, developing algorithms, analyzing data, and publishing findings in top-tier conferences and journals. The fellow will collaborate with team members, contribute to research proposals, and assist with grant writing. They will train under experienced mentors in a dynamic environment, advancing medical AI research and potentially engaging in patient/research subject contact, contingent on approval. The role aims to prepare candidates for leadership in Healthcare AI/ML in academia or biotech sectors. Qualifications And Skills Candidates should hold a Ph.
D. in Computer Science, Electrical Engineering, or related fields with a focus on AI or machine learning. Those with relevant work experience or surgical trainees with prior AI exposure are encouraged to apply. Essential skills include strong proficiency in Python (libraries such as Pandas, Scikit-learn), deep learning frameworks (TensorFlow/PyTorch), data structures, algorithms, and shell scripting. Additional expertise in statistical learning, Docker, DBMS, and cloud services (GCP) is advantageous. Candidates must demonstrate a publication record, scientific writing ability, and proficiency in English. Additional Details This exempt, full-time fellowship offers an annual salary ranging from $67,282.95 to $78,711.15, with benefits. The position involves working Monday through Friday, with an 80-hour pay period. This role provides training in a collaborative research environment to foster future leadership in Healthcare AI/ML.
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