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Open nowPosted 126 days ago

多模态医疗大模型研究员

c0fu1j3a9m0/referral33 open roles

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Shanghai, Chinese Mainland
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Your applicationOpen now多模态医疗大模型研究员c0fu1j3a9m0/referral · Shanghai, Chinese Mainland
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12.3% of postings close within 7 days. Measured by our own scanner across the market. c0fu1j3a9m0/referral postings stay open a median of 1 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.3%14 days
  5. 35.6%30 days
  6. 58.1%60 days
This job: posted 126 days ago

c0fu1j3a9m0/referral median: 1 days open

The posting

探索AI for Medicine的新范式:科研与产业落地的前沿解决方案 1. 利用计算机视觉、图神经网络、强化学习、多模态对齐和推理、跨模态预测和生成等技术,针对复杂医疗场景下多模态数据异质性强、稀疏度高、领域泛化难、推理可解释性弱等难题,重点攻坚医疗原生多模态大模型、可解释因果推理、高维度语义对齐等前沿方向,为多模态医学影像建模、临床智能推理、医疗数字孪生等场景提供工业级或临床级解决方案,探索AI for Medicine科研与产业落地新范式。 2. 工作内容不仅限于理论探索,也注重实际应用的价值转化。联动顶尖高校、三甲医院及产业合作伙伴,我们将前沿研究成果快速转化为可操作的技术产品和服务,推动AI+医疗研究迈向新的高度,并加速其在医疗健康领域的广泛应用。

1. 计算机科学、人工智能、数学、生物医学工程等相关专业,硕士及以上学历,博士优先。 2. 具备机器学习、计算机视觉、自然语言处理、多模态或者其他AI相关领域的扎实的研究经验及实践经验,并能将这些知识应用于医疗场景的研究中。 3. 在人工智能顶级会议(如 ICML、ICLR、NeurIPS、CVPR等)或者顶级期刊(如TIP、TPAMI、Nature Machine Intelligence等)上有2篇及以上第一作者论文发表经历者优先考虑。 4. 拥有优秀的编程能力,熟悉深度学习框架(如 PyTorch 等),能够独立开展代码开发与算法实现。 5. 具备强大的自主学习和科研探索能力,可快速跟进前沿技术,迅速适应快速变化的研究节奏,并乐于探索新技术与新方法。 6. 具备良好的沟通能力和团队协作意识,能够与不同背景的跨学科团队高效配合,快速推进项目研发与进展。 7. 深度认同“AI for Medicine”的理念,有志于长期深耕医疗人工智能领域,致力于以前沿技术推动生命科学创新与医疗产业升级。

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