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Research Associate
2 weeks ago
Key Responsibilities:
- Design and implement AI algorithm models to analyze multimodal medical datasets (including MRI, CT, X-ray, OCT, and ultrasound images) for high-precision medical organ segmentation, 3D modeling research, and intelligent diagnosis.-
- Develop, test, and optimize AI software systems for various medical tasks, ensuring their applicability and accuracy in real-world medical environments.- Utilize data storage technologies to manage multimodal medical data securely and efficiently, ensuring data privacy while providing high storage capacity to accelerate AI model training and inference.- Enhance the visualization capabilities of AI software system outputs using VR/AR equipment and 3D visualization technologies, aiding clinical observations and assisting interns in training and rapid learning.- Collaborate with the team to systematically complete research and development tasks, assisting in the development of AI-assisted robotic solutions for surgical procedures, including pre-operative planning and intra-operative guidance.- Ensure that all research activities adhere to ethical guidelines and patient data privacy regulations.- Stay updated on the latest advancements in medical imaging, image processing, robotics, and large language models, ensuring that the research remains at the forefront of the field.- Collaborate with external researchers and interdisciplinary teams (including medical professionals, AI experts, and research professors) to ensure the necessity, professionalism, rationality, and practicality of the research.- Attend conferences, workshops, and seminars to represent the research team, acquire new knowledge, and establish collaborations.-
- Mentor and train junior researchers, students, and interns, ensuring they possess the necessary skills and knowledge to contribute effectively to the research.
Key Competencies and Education Qualifications:
- Master's or PhD degree in Computer Engineering, Computer Science, or a related field from a prestigious institution.- Extensive experience in deep learning, AI, computer vision, 3D reconstruction algorithms, and large-scale Pre-trained Models.- A solid research foundation and engineering experience in the AI medical field, proficient in programming languages and frameworks such as Python, C++, Pytorch, Tensorflow, Opencv, and COLMAP.- Experience in software system engineering, capable of designing a well-structured system architecture to support the implementation of AI medical software.-
- Familiarity with annotation and labeling software, particularly LabelImg, and an understanding of the importance of high-quality data annotation in AI model training.- Experience analyzing and interpreting medical imaging datasets, particularly ophthalmic imaging data, with an understanding of the nuances and peculiarities of such datasets.-
- A deep understanding of ethical considerations, patient data privacy regulations, and other compliance-related aspects of medical research.- Ability to collaborate with interdisciplinary teams, including medical professionals, AI experts, and research professors.- Proactive and self-driven, capable of developing and managing multiple tasks and projects simultaneously.
Hiring Institution: LKC
